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| cross sectional study bias: Modern Epidemiology Kenneth J. Rothman, Sander Greenland, Timothy L. Lash, 2008 The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical problems. Coauthored by three leading epidemiologists, with sixteen additional contributors, this Third Edition is the most comprehensive and cohesive text on the principles and methods of epidemiologic research. The book covers a broad range of concepts and methods, such as basic measures of disease frequency and associations, study design, field methods, threats to validity, and assessing precision. It also covers advanced topics in data analysis such as Bayesian analysis, bias analysis, and hierarchical regression. Chapters examine specific areas of research such as disease surveillance, ecologic studies, social epidemiology, infectious disease epidemiology, genetic and molecular epidemiology, nutritional epidemiology, environmental epidemiology, reproductive epidemiology, and clinical epidemiology. |
| cross sectional study bias: Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide Agency for Health Care Research and Quality (U.S.), 2013-02-21 This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov) |
| cross sectional study bias: Encyclopedia of Survey Research Methods Paul J. Lavrakas, 2008-09-12 To the uninformed, surveys appear to be an easy type of research to design and conduct, but when students and professionals delve deeper, they encounter the vast complexities that the range and practice of survey methods present. To complicate matters, technology has rapidly affected the way surveys can be conducted; today, surveys are conducted via cell phone, the Internet, email, interactive voice response, and other technology-based modes. Thus, students, researchers, and professionals need both a comprehensive understanding of these complexities and a revised set of tools to meet the challenges. In conjunction with top survey researchers around the world and with Nielsen Media Research serving as the corporate sponsor, the Encyclopedia of Survey Research Methods presents state-of-the-art information and methodological examples from the field of survey research. Although there are other how-to guides and references texts on survey research, none is as comprehensive as this Encyclopedia, and none presents the material in such a focused and approachable manner. With more than 600 entries, this resource uses a Total Survey Error perspective that considers all aspects of possible survey error from a cost-benefit standpoint. Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding diminishing response rates, confidentiality, privacy, informed consent and other ethical issues, data weighting, and data analyses Presents a Reader′s Guide to organize entries around themes or specific topics and easily guide users to areas of interest Offers cross-referenced terms, a brief listing of Further Readings, and stable Web site URLs following most entries The Encyclopedia of Survey Research Methods is specifically written to appeal to beginning, intermediate, and advanced students, practitioners, researchers, consultants, and consumers of survey-based information. |
| cross sectional study bias: Encyclopedia of Quality of Life and Well-Being Research Alex C. Michalos, 2014-02-12 The aim of this encyclopedia is to provide a comprehensive reference work on scientific and other scholarly research on the quality of life, including health-related quality of life research or also called patient-reported outcomes research. Since the 1960s two overlapping but fairly distinct research communities and traditions have developed concerning ideas about the quality of life, individually and collectively, one with a fairly narrow focus on health-related issues and one with a quite broad focus. In many ways, the central issues of these fields have roots extending to the observations and speculations of ancient philosophers, creating a continuous exploration by diverse explorers in diverse historic and cultural circumstances over several centuries of the qualities of human existence. What we have not had so far is a single, multidimensional reference work connecting the most salient and important contributions to the relevant fields. Entries are organized alphabetically and cover basic concepts, relatively well established facts, lawlike and causal relations, theories, methods, standardized tests, biographic entries on significant figures, organizational profiles, indicators and indexes of qualities of individuals and of communities of diverse sizes, including rural areas, towns, cities, counties, provinces, states, regions, countries and groups of countries. |
| cross sectional study bias: Foundations of Epidemiology Marit L. Bovbjerg, 2020-10 Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening. Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues. |
| cross sectional study bias: Applying Quantitative Bias Analysis to Epidemiologic Data Timothy L. Lash, Matthew P. Fox, Aliza K. Fink, 2011-04-14 Bias analysis quantifies the influence of systematic error on an epidemiology study’s estimate of association. The fundamental methods of bias analysis in epi- miology have been well described for decades, yet are seldom applied in published presentations of epidemiologic research. More recent advances in bias analysis, such as probabilistic bias analysis, appear even more rarely. We suspect that there are both supply-side and demand-side explanations for the scarcity of bias analysis. On the demand side, journal reviewers and editors seldom request that authors address systematic error aside from listing them as limitations of their particular study. This listing is often accompanied by explanations for why the limitations should not pose much concern. On the supply side, methods for bias analysis receive little attention in most epidemiology curriculums, are often scattered throughout textbooks or absent from them altogether, and cannot be implemented easily using standard statistical computing software. Our objective in this text is to reduce these supply-side barriers, with the hope that demand for quantitative bias analysis will follow. |
| cross sectional study bias: Practical Psychiatric Epidemiology Jayati Das-Munshi, Tamsin Ford, Matthew Hotopf, Martin Prince, Robert Stewart, 2020-04-30 Epidemiology has been defined as the study of the distribution and determinants of health states or events in defined populations and its application to the control of health problems. Psychiatric epidemiology has continued to develop and apply these core principles in relation to mental health and mental disorders. This long-awaited second edition of Practical Psychiatric Epidemiology covers all of the considerable new developments in psychiatric epidemiology that have occurred since the first edition was published. It includes new content on key topics such as life course epidemiology, gene/environment interactions, bioethics, patient and public involvement in research, mixed methods research, new statistical methods, case registers, policy, and implementation. Looking to the future of this rapidly evolving scientific discipline and how it will to respond to the emerging opportunities and challenges posed by 'big data', new technologies, open science and globalisation, this new edition will continue to serve as an invaluable reference for clinicians in practice and in training. It will also be of interest to researchers in mental health and people studying or teaching psychiatric epidemiology at undergraduate or postgraduate level. |
| cross sectional study bias: Planning Clinical Research Robert A. Parker, Nancy G. Berman, 2016-10-12 Planning clinical research requires many decisions. The authors of this book explain key decisions with examples showing what works and what does not. |
| cross sectional study bias: Encyclopedia of Behavioral Medicine Marc D. Gellman, J. Rick Turner, |
| cross sectional study bias: Veterinary Epidemiology S. Wayne Martin, Alan H. Meek, Preben Willeberg, 1987 Basic principles. Epidemiologic concepts. Sampling methods. Measurement of disease frequency and production. Studying disease in animal populations. Descriptive epidemiology. Disease causation. Surveys and analytic observational studies. Design of field trials. Theoretical epidemiology: systems analysis and modeling. Animal health economics. Applied epidemiology. Rationale, strategies, and concepts of animal disease control. Monitoring disease and production. Field investigations. |
| cross sectional study bias: Finding What Works in Health Care Institute of Medicine, Board on Health Care Services, Committee on Standards for Systematic Reviews of Comparative Effectiveness Research, 2011-07-20 Healthcare decision makers in search of reliable information that compares health interventions increasingly turn to systematic reviews for the best summary of the evidence. Systematic reviews identify, select, assess, and synthesize the findings of similar but separate studies, and can help clarify what is known and not known about the potential benefits and harms of drugs, devices, and other healthcare services. Systematic reviews can be helpful for clinicians who want to integrate research findings into their daily practices, for patients to make well-informed choices about their own care, for professional medical societies and other organizations that develop clinical practice guidelines. Too often systematic reviews are of uncertain or poor quality. There are no universally accepted standards for developing systematic reviews leading to variability in how conflicts of interest and biases are handled, how evidence is appraised, and the overall scientific rigor of the process. In Finding What Works in Health Care the Institute of Medicine (IOM) recommends 21 standards for developing high-quality systematic reviews of comparative effectiveness research. The standards address the entire systematic review process from the initial steps of formulating the topic and building the review team to producing a detailed final report that synthesizes what the evidence shows and where knowledge gaps remain. Finding What Works in Health Care also proposes a framework for improving the quality of the science underpinning systematic reviews. This book will serve as a vital resource for both sponsors and producers of systematic reviews of comparative effectiveness research. |
| cross sectional study bias: How to Practice Academic Medicine and Publish from Developing Countries? Samiran Nundy, Atul Kakar, Zulfiqar A. Bhutta, 2021-10-23 This is an open access book. The book provides an overview of the state of research in developing countries – Africa, Latin America, and Asia (especially India) and why research and publications are important in these regions. It addresses budding but struggling academics in low and middle-income countries. It is written mainly by senior colleagues who have experienced and recognized the challenges with design, documentation, and publication of health research in the developing world. The book includes short chapters providing insight into planning research at the undergraduate or postgraduate level, issues related to research ethics, and conduct of clinical trials. It also serves as a guide towards establishing a research question and research methodology. It covers important concepts such as writing a paper, the submission process, dealing with rejection and revisions, and covers additional topics such as planning lectures and presentations. The book will be useful for graduates, postgraduates, teachers as well as physicians and practitioners all over the developing world who are interested in academic medicine and wish to do medical research. |
| cross sectional study bias: Cochrane Handbook for Systematic Reviews of Interventions Julian P. T. Higgins, Sally Green, 2008-11-24 Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves. |
| cross sectional study bias: Handbook of EHealth Evaluation Francis Yin Yee Lau, Craig Kuziemsky, 2016-11 To order please visit https://onlineacademiccommunity.uvic.ca/press/books/ordering/ |
| cross sectional study bias: Epidemiology in Medicine Julie E. Buring, 1987 Harvard Medical School, Boston. Textbook for medical and public health students. |
| cross sectional study bias: Research Methodology in the Social, Behavioural and Life Sciences Herman J Ader, Gideon J Mellenbergh, 1999-12-07 This is an ideal text for advanced courses in research methods and experimental design. It argues that the methodology of quantitative research is a unified discipline with basic notions, procedures and ways of reasoning which can be applied across the social, behavioural and life sciences. Key designs, models and methods in research are covered by leading contributors in their field who seek to explain the fundamentals of the research process to enable the student to understand the broader implications and unifying themes. |
| cross sectional study bias: Critical Appraisal of Epidemiological Studies and Clinical Trials Mark Elwood, 2007-02-22 This book presents a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively. This system emphasizes the central importance of cause and effect relationships. Its great strength is that it is applicable to a wide range of issues, and both to intervention trials and observational studies. This system unifies the often different approaches used in epidemiology, health services research, clinical trials, and evidence-based medicine, starting from a logical consideration of cause and effect. The author's approach to the issues of study design, selection of subjects, bias, confounding, and the place of statistical methods has been praised for its clarity and interest. Systematic reviews, meta-analysis, and the applications of this logic to evidence-based medicine, knowledge-based health care, and health practice and policy are discussed. Current and often controversial examples are used, including screening for prostate cancer, publication bias in psychiatry, public health issues in developing countries, and conflicts between observational studies and randomized trials. Statistical issues are explained clearly without complex mathematics, and the most useful methods are summarized in the appendix. The final chapters give six applications of the critical appraisal of major studies: randomized trials of medical treatment and prevention, a prospective and a retrospective cohort study, a small matched case-control study, and a large case-control study. In these chapters, sections of the original papers are reproduced and the original studies placed in context by a summary of current developments. |
| cross sectional study bias: Epidemiology for the Uninitiated David Coggon, David Barker, Geoffrey Rose, 2009-02-05 This perennial bestseller is an ideal introductions to epidemiology in health care. The fifith editon retains the book's simplicity and brevity, at the same time providing the reader with the core elements of epidemiology needed in health care practice and research. The text has been revised throughout, with new examples introduced to bring the book right up to date. |
| cross sectional study bias: Oxford Textbook of Public Health , 2002 |
| cross sectional study bias: Fowler's Zoo and Wild Animal Medicine Current Therapy, Volume 7 R. Eric Miller, Murray E. Fowler, 2011-07-11 With coverage of current issues and emerging trends, Fowler's Zoo and Wild Animal Medicine, Volume 7 provides a comprehensive, all-new reference for the management of zoo and wildlife diseases. A Current Therapy format emphasizes the latest advances in the field, including nutrition, diagnosis, and treatment protocols. Cutting-edge coverage includes topics such as the One Medicine concept, laparoscopic surgery in elephants and rhinoceros, amphibian viral diseases, and advanced water quality evaluation for zoos. Editors R. Eric Miller and Murray E. Fowler promote a philosophy of animal conservation, bridging the gap between captive and free-ranging wild animal medicine with chapters contributed by more than 100 international experts. - The Current Therapy format focuses on emerging trends, treatment protocols, and diagnostic updates new to the field, providing timely information on the latest advances in zoo and wild animal medicine. - Content ranges from drug treatment, nutrition, husbandry, surgery, and imaging to behavioral training. - Coverage of species ranges from giraffes, elephants, lions, and orangutans to sea turtles, hellbenders, bats, kakapos, and more. - An extensive list of contributors includes recognized authors from around the world, offering expert information with chapters focusing on the latest research and clinical management of captive and free-ranging wild animals. - A philosophy of animal conservation helps zoo and wildlife veterinarians fulfill not only the technical aspects of veterinary medicine, but contribute to the overall biological teams needed to rescue many threatened and endangered species from extinction. - All content is new, with coverage including coverage of cutting-edge issues such as white-nose disease in bats, updates on Ebola virus in wild great apes, and chytrid fungus in amphibians. - Full-color photographs depict external clinical signs for more accurate clinical recognition. - Discussions of the One Medicine concept include chapters addressing the interface between wildlife, livestock, human, and ecosystem health. - New sections cover Edentates, Marsupials, Carnivores, Perrissodactyla, and Camelids. - Over 100 new tables provide a quick reference to a wide range of topics. - An emphasis on conserving threatened and endangered species globally involves 102 expert authors representing 12 different countries. |
| cross sectional study bias: Handbook of Life Course Health Development Neal Halfon, Christopher B. Forrest, Richard M. Lerner, Elaine M. Faustman, 2017-11-20 This book is open access under a CC BY 4.0 license. This handbook synthesizes and analyzes the growing knowledge base on life course health development (LCHD) from the prenatal period through emerging adulthood, with implications for clinical practice and public health. It presents LCHD as an innovative field with a sound theoretical framework for understanding wellness and disease from a lifespan perspective, replacing previous medical, biopsychosocial, and early genomic models of health. Interdisciplinary chapters discuss major health concerns (diabetes, obesity), important less-studied conditions (hearing, kidney health), and large-scale issues (nutrition, adversity) from a lifespan viewpoint. In addition, chapters address methodological approaches and challenges by analyzing existing measures, studies, and surveys. The book concludes with the editors’ research agenda that proposes priorities for future LCHD research and its application to health care practice and health policy. Topics featured in the Handbook include: The prenatal period and its effect on child obesity and metabolic outcomes. Pregnancy complications and their effect on women’s cardiovascular health. A multi-level approach for obesity prevention in children. Application of the LCHD framework to autism spectrum disorder. Socioeconomic disadvantage and its influence on health development across the lifespan. The importance of nutrition to optimal health development across the lifespan. The Handbook of Life Course Health Development is a must-have resource for researchers, clinicians/professionals, and graduate students in developmental psychology/science; maternal and child health; social work; health economics; educational policy and politics; and medical law as well as many interrelated subdisciplines in psychology, medicine, public health, mental health, education, social welfare, economics, sociology, and law. |
| cross sectional study bias: Handbook for Clinical Research Flora Hammond, MD, James F. Malec, Todd Nick, Ralph Buschbacher, MD, 2014-08-26 With over 80 information-packed chapters, Handbook for Clinical Research delivers the practical insights and expert tips necessary for successful research design, analysis, and implementation. Using clear language and an accessible bullet point format, the authors present the knowledge and expertise developed over time and traditionally shared from mentor to mentee and colleague to colleague. Organized for quick access to key topics and replete with practical examples, the book describes a variety of research designs and statistical methods and explains how to choose the best design for a particular project. Research implementation, including regulatory issues and grant writing, is also covered. The book opens with a section on the basics of research design, discussing the many ways in which studies can be organized, executed, and evaluated. The second section is devoted to statistics and explains how to choose the correct statistical approach and reviews the varieties of data types, descriptive and inferential statistics, methods for demonstrating associations, hypothesis testing and prediction, specialized methods, and considerations in epidemiological studies and measure construction. The third section covers implementation, including how to develop a grant application step by step, the project budget, and the nuts and bolts of the timely and successful completion of a research project and documentation of findings: procedural manuals and case report forms collecting, managing and securing data operational structure and ongoing monitoring and evaluation and ethical and regulatory concerns in research with human subjects. With a concise presentation of the essentials for successful research, the Handbook for Clinical Research is a valuable addition to the library of any student, research professional, or clinician interested in expanding the knowledge base of his or her field. Key Features: Delivers the essential elements, practical insights, and trade secrets for ensuring successful research design, analysis, and implementation Presents the nuts and bolts of statistical analysis Organized for quick access to a wealth of information Replete with practical examples of successful research designs Û from single case designs to meta-analysis - and how to achieve them Addresses research implementation including regulatory issues and grant writing |
| cross sectional study bias: Nonresponse in Social Science Surveys National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on a Research Agenda for the Future of Social Science Data Collection, 2013-10-26 For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. These trends are of particular concern for the social science community, which is heavily invested in obtaining information from household surveys. The evidence to date makes it apparent that current trends in nonresponse, if not arrested, threaten to undermine the potential of household surveys to elicit information that assists in understanding social and economic issues. The trends also threaten to weaken the validity of inferences drawn from estimates based on those surveys. High nonresponse rates create the potential or risk for bias in estimates and affect survey design, data collection, estimation, and analysis. The survey community is painfully aware of these trends and has responded aggressively to these threats. The interview modes employed by surveys in the public and private sectors have proliferated as new technologies and methods have emerged and matured. To the traditional trio of mail, telephone, and face-to-face surveys have been added interactive voice response (IVR), audio computer-assisted self-interviewing (ACASI), web surveys, and a number of hybrid methods. Similarly, a growing research agenda has emerged in the past decade or so focused on seeking solutions to various aspects of the problem of survey nonresponse; the potential solutions that have been considered range from better training and deployment of interviewers to more use of incentives, better use of the information collected in the data collection, and increased use of auxiliary information from other sources in survey design and data collection. Nonresponse in Social Science Surveys: A Research Agenda also documents the increased use of information collected in the survey process in nonresponse adjustment. |
| cross sectional study bias: Communities in Action National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Population Health and Public Health Practice, Committee on Community-Based Solutions to Promote Health Equity in the United States, 2017-04-27 In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome. |
| cross sectional study bias: Cohort Studies in Health Sciences R. Mauricio Barría, 2018 Introductory Chapter: The Contribution of Cohort Studies to Health Sciences. |
| cross sectional study bias: Marcus and Feldman's Osteoporosis David W. Dempster, Jane A. Cauley, Mary L. Bouxsein, Felicia Cosman, 2020-10-08 Marcus and Feldman's Osteoporosis, Fifth Edition, is the most comprehensive, authoritative reference on this disease. Led by a new editorial team, this fifth edition offers critical information on reproductive and hormonal risk factors, new therapeutics, ethnicity, nutrition, therapeutics, management and economics, comprising a tremendous wealth of knowledge in a single source not found elsewhere. Written by renowned experts in the field, this two-volume reference is a must-have for biomedical researchers, research clinicians, fellows, academic and medical libraries, and any company involved in osteoporosis drug research and development. - Summarizes the latest research in bone biology and translational applications in a range of new therapeutic agents, including essential updates on therapeutic uses of calcium, vitamin D, SERMS, bisphosphonates, parathyroid hormone, and new therapeutic agents - Recognizes the critical importance of new signaling pathways for bone health, including Wnt, OPG and RANK, of interest to both researchers who study bone biology and clinicians who treat osteoporosis - Offers new insights into osteoporosis associated with menopause, pre-menopause, chronic kidney disease, diabetes, HIV and other immune disorders |
| cross sectional study bias: Systematic Reviews in Health Care Matthias Egger, George Davey-Smith, Douglas Altman, 2008-04-15 The second edition of this best-selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta-analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice. |
| cross sectional study bias: Research Design in Business and Management Stefan Hunziker, Michael Blankenagel, 2021-11-09 The present book project on Research Design, which is planned in English, is intended to create an innovative textbook that can be used at university undergraduate and graduate levels in internationally oriented education in the German-speaking countries. This textbook shall provide comprehensive guidance for students when tackling their (applied) research papers. Instead of reiterating qualitative and quantitative methods it focuses on how to come up with an appropriate research design that allows the student to make the intended intellectual contribution. Starting from the desired (hypothetical) conclusion or statement the student will be guided through the process of finding the appropriate Research Question that will be answered by such a statement and the required Research Design consisting of data collection and data analysis, that allows for such a statement as the conclusion of the study. Common Research Designs in Business and Management, i.e. well beyond the standard Research Designs of Social Sciences and curtailed to the focus area, will be described with regard to their suitability to answer specific kinds of questions as well as the idiosyncrasies of the these Designs and their impact on the written research reports. Examples for each Research Design will be provided as well as guidance about how to write about such research. |
| cross sectional study bias: Registries for Evaluating Patient Outcomes Agency for Healthcare Research and Quality/AHRQ, 2014-04-01 This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. |
| cross sectional study bias: Evidence-based Medicine Sharon E. Straus, 2005 The accompanying CD-ROM contains clinical examples, critical appraisals and background papers. |
| cross sectional study bias: International Encyclopedia of Public Health William C Cockerham, 2016-10-06 International Encyclopedia of Public Health, Second Edition, Seven Volume Set is an authoritative and comprehensive guide to the major issues, challenges, methods, and approaches of global public health. Taking a multidisciplinary approach, this new edition combines complementary scientific fields of inquiry, linking biomedical research with the social and life sciences to address the three major themes of public health research, disease, health processes, and disciplines. This book helps readers solve real-world problems in global and local health through a multidisciplinary and comprehensive approach. Covering all dimensions of the field, from the details of specific diseases, to the organization of social insurance agencies, the articles included cover the fundamental research areas of health promotion, economics, and epidemiology, as well as specific diseases, such as cancer, cardiovascular diseases, diabetes, and reproductive health. Additional articles on the history of public health, global issues, research priorities, and health and human rights make this work an indispensable resource for students, health researchers, and practitioners alike. Provides the most comprehensive, high-level, internationally focused reference work available on public health Presents an invaluable resource for both researchers familiar with the field and non-experts requiring easy-to-find, relevant, global information and a greater understanding of the wider issues Contains interdisciplinary coverage across all aspects of public health Incorporates biomedical and health social science issues and perspectives Includes an international focus with contributions from global domain experts, providing a complete picture of public health issues |
| cross sectional study bias: Analysis of Cancer Risks in Populations Near Nuclear Facilities National Research Council, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Committee on the Analysis of Cancer Risks in Populations near Nuclear Facilitiesâ¬"Phase I, 2012-06-29 In the late 1980s, the National Cancer Institute initiated an investigation of cancer risks in populations near 52 commercial nuclear power plants and 10 Department of Energy nuclear facilities (including research and nuclear weapons production facilities and one reprocessing plant) in the United States. The results of the NCI investigation were used a primary resource for communicating with the public about the cancer risks near the nuclear facilities. However, this study is now over 20 years old. The U.S. Nuclear Regulatory Commission requested that the National Academy of Sciences provide an updated assessment of cancer risks in populations near USNRC-licensed nuclear facilities that utilize or process uranium for the production of electricity. Analysis of Cancer Risks in Populations near Nuclear Facilities: Phase 1 focuses on identifying scientifically sound approaches for carrying out an assessment of cancer risks associated with living near a nuclear facility, judgments about the strengths and weaknesses of various statistical power, ability to assess potential confounding factors, possible biases, and required effort. The results from this Phase 1 study will be used to inform the design of cancer risk assessment, which will be carried out in Phase 2. This report is beneficial for the general public, communities near nuclear facilities, stakeholders, healthcare providers, policy makers, state and local officials, community leaders, and the media. |
| cross sectional study bias: Research in Medical and Biological Sciences Petter Laake, Haakon Breien Benestad, Bjorn R. Olsen, 2015-06-05 Research in Medical and Biological Sciences covers the wide range of topics that a researcher must be familiar with in order to become a successful biomedical scientist. Perfect for aspiring as well as practicing professionals in the medical and biological sciences, this publication discusses a broad range of topics that are common yet not traditionally considered part of formal curricula, including philosophy of science, ethics, statistics, and grant applications. The information presented in this book also facilitates communication across conventional disciplinary boundaries, in line with the increasingly multidisciplinary nature of modern research projects. - Covers the breadth of topics that a researcher must understand in order to be a successful experimental scientist - Provides a broad scientific perspective that is perfect for students with various professional backgrounds - Contains easily accessible, concise material about diverse methods - Includes extensive online resources such as further reading suggestions, data files, statistical tables, and the StaTable application package - Emphasizes the ethics and statistics of medical and biological sciences |
| cross sectional study bias: Massachusetts General Hospital Guide to Primary Care Psychiatry Theodore A. Stern, John B. Herman, Peter L. Slavin, 2004 From the leading psychiatry department in the world, comes the second edition of this unique, symptom-oriented approach to the diagnosis and treatment of psychiatric diseases. Features coverage of all the salient features of psychiatric diseases as well as new emphasis on evidence-based algorithms, psychopharmacological advances, and the pediatric patient. |
| cross sectional study bias: Pharmacoepidemiology and Pharmacovigilance Sabrina Nour, Gilles Plourde, 2018-10-17 Pharmacoepidemiology and Pharmacovigilance: Synergistic Tools to Better Investigate Drug Safety examines the role of pharmacoepidemiologic studies in drug development and its use as a prevention tool in pharmacovigilance activities. The book introduces the various epidemiologic tools and study designs commonly used for the surveillance of drug-related adverse effects and reviews the strengths and weaknesses of each. Criticisms surrounding pharmacoepidemiologic research and issues that often interfere or complicate the conduct and interpretation of these studies are also explored. Case studies illustrate the passive and active surveillance of adverse drug reactions in clinical situations, covering important pharmacoepidemiologic concepts like health risk management and safety. The book helps pharmaceutical industry groups engaged in drug safety, clinical investigators, medical evaluators and those seeking regulatory approval enhance the safety of the drug development process for all patient populations. - Describes the main prevention tools for the passive and active surveillance of adverse effects associated with drugs - Provides examples of diseases in various contexts related to clinical studies and the analysis of adverse drug reactions - Offers case studies that illustrate real-life clinical situations - Discusses important concepts related to pharmacoepidemiology and pharmacovigilance |
| cross sectional study bias: Epidemiologic Studies of Veterans Exposed to Depleted Uranium Institute of Medicine, Board on Population Health and Public Health Practice, Committee on Gulf War and Health: Updated Literature Review of Depleted Uranium, 2008-09-11 Depleted uranium, a component of some weapons systems, has been in use by the U.S. military since the 1991 Gulf War. Military personnel have been exposed to depleted uranium as the result of friendly fire incidents, cleanup and salvage operations, and proximity to burning depleted uranium-containing tanks and ammunition. Under a Congressional mandate, the Department of Defense sought guidance from the Institute of Medicine in evaluating the feasibility and design of an epidemiologic study that would assess health outcomes of exposure to depleted uranium. The study committee examined several options to study health outcomes of depleted uranium exposure in military and veteran populations and concluded that it would be difficult to design a study to comprehensively assess depleted uranium-related health outcomes with currently available data. The committee further concluded that the option most likely to obtain useful information about depleted uranium-related health outcomes would be a prospective cohort study if future military operations involve exposure to depleted uranium. The book contains recommendations aimed at improving future epidemiologic studies and identifying current active-duty military personnel and veterans with potential DU exposure. |
| cross sectional study bias: Osteoporosis in Men Eric S. Orwoll, John P. Bilezikian, Dirk Vanderschueren, 2009-11-30 Since the publication of the first edition, the U.S. Surgeon General released the first-ever report on bone health and osteoporosis in October 2004. This report focuses even more attention on the devastating impact osteoporosis has on millions of lives. According to the National Osteoporosis Foundation, 2 million American men have osteoporosis, and another 12 million are at risk for this disease. Yet despite the large number of men affected, the lack of awareness by doctors and their patients puts men at a higher risk that the condition may go undiagnosed and untreated. It is estimated that one-fifth to one-third of all hip fractures occur in men. This second edition brings on board John Bilezikian and Dirk Vanderschueren as editors with Eric Orwoll. The table of contents is more than doubling with 58 planned chapters. The format is larger – 8.5 x 11. This edition of Osteoporosis in Men brings together even more eminent investigators and clinicians to interpret developments in this growing field, and describe state-of-the-art research as well as practical approaches to diagnosis, prevention and therapy. - Brings together more eminent investigators and clinicians to interpret developments in this growing field - Describes state-of-the-art research as well as practical approaches to diagnosis, prevention and therapy - There is no book on the market that covers osteoporosis in men as comprehensively as this book |
| cross sectional study bias: Epigenetics in Human Disease Trygve Tollefsbol, 2012-07-26 Epigenetics is one of the fastest growing fields of sciences, illuminating studies of human diseases by looking beyond genetic make-up and acknowledging that outside factors play a role in gene expression. The goal of this volume is to highlight those diseases or conditions for which we have advanced knowledge of epigenetic factors such as cancer, autoimmune disorders and aging as well as those that are yielding exciting breakthroughs in epigenetics such as diabetes, neurobiological disorders and cardiovascular disease. Where applicable, attempts are made to not only detail the role of epigenetics in the etiology, progression, diagnosis and prognosis of these diseases, but also novel epigenetic approaches to the treatment of these diseases. Chapters are also presented on human imprinting disorders, respiratory diseases, infectious diseases and gynecological and reproductive diseases. Since epigenetics plays a major role in the aging process, advances in the epigenetics of aging are highly relevant to many age-related human diseases. Therefore, this volume closes with chapters on aging epigenetics and breakthroughs that have been made to delay the aging process through epigenetic approaches. With its translational focus, this book will serve as valuable reference for both basic scientists and clinicians alike. Comprehensive coverage of fundamental and emergent science and clinical usage Side-by-side coverage of the basis of epigenetic diseases and their treatments Evaluation of recent epigenetic clinical breakthroughs |
| cross sectional study bias: Encyclopedia of Pharmacy Practice and Clinical Pharmacy , 2019-06-28 Encyclopedia of Pharmacy Practice and Clinical Pharmacy, Three Volume Set covers definitions, concepts, methods, theories and applications of clinical pharmacy and pharmacy practice. It highlights why and how this field has a significant impact on healthcare. The work brings baseline knowledge, along with the latest, most cutting-edge research. In addition, new treatments, algorithms, standard treatment guidelines, and pharmacotherapies regarding diseases and disorders are also covered. The book's main focus lies on the pharmacy practice side, covering pharmacy practice research, pharmacovigilance, pharmacoeconomics, social and administrative pharmacy, public health pharmacy, pharmaceutical systems research, the future of pharmacy, and new interventional models of pharmaceutical care. By providing concise expositions on a broad range of topics, this book is an excellent resource for those seeking information beyond their specific areas of expertise. This outstanding reference is essential for anyone involved in the study of pharmacy practice. Provides a ‘one-stop’ resource for access to information written by world-leading scholars in the field Meticulously organized, with articles split into three clear sections, it is the ideal resource for students, researchers and professionals to find relevant information Contains concise and accessible chapters that are ideal as an authoritative introduction for non-specialists and readers from the undergraduate level upwards Includes multimedia options, such as hyperlinked references and further readings, cross-references and videos |
| cross sectional study bias: An Introduction to Medical Statistics Martin Bland, 2015-07-23 Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis. |
Appraisal tool for Cross-Sectional Studies - BMJ Open
bility of introducing bias into the study. Identifying these key areas in CA requires good reporting of the study, if the study is poorly reported the appraisal ing observational cross-sectional …
Cross-Sectional Studies - CHEST
Investigators should be aware of bias when planning a cross-sectional study. Bias may be de fined as any systematic error in a study that results in an incorrect estimate of the true effect of …
Assessing risk of bias in included studies - Cochrane
Outline risk of bias in systematic reviews assessing sources of bias putting it into practice: ‘Risk of bias’ tables incorporating findings into your review
CROSS-SECTIONAL STUDY
You would like to perform the cross-sectional study to estimate the magnitude of vitamin D deficiency and the associated factor of vitamin D deficiency in population in Thailand. …
Study design III: Cross-sectional studies - Nature
In this series, I previously gave an overview of the main types of study design and the techniques used to minimise biased results. Here, I describe cross-sectional studies, their uses,...
Checklist for Analytical Cross Sectional Studies
All systematic reviews incorporate a process of critique or appraisal of the research evidence. The purpose of this appraisal is to assess the methodological quality of a study and to determine …
Cross-sectional Studies
Survival bias: occurs in cross-sectional studies when the exposure influences survival time, and the distribution of that exposure will be distorted among a sample of survivors. (a.k.a. Neyman …
Bias in Cross-Sectional Analyses of Longitudinal Mediation: …
Maxwell and Cole (2007) showed that cross-sectional approaches to mediation typically generate substantially biased estimates of longitudinal parameters in the special case of complete …
Development of a critical appraisal tool to assess the quality …
Objectives: The aim of this study was to develop a critical appraisal (CA) tool that addressed study design and reporting quality as well as the risk of bias in cross-sectional studies (CSSs). …
How to Conduct and Write a Cross-sectional Study
Cross-sectional study design can be descriptive or analytical. Descriptive cross-sectional study design pertains to estimates of prevalence of disease, traits such as smoking behavior, …
Risk of bias in cross-sectional studies: Protocol for a scoping …
Description of protocol A cross-sectional study is atypeofobservationalresearchstudythatisusedtoexamineagroupof individualsataspecificpoint in …
Microsoft PowerPoint - Cross sectional study 2015
Descriptive cross-sectional study Measures prevalence of disease at a single point in time or over a short period of time. Two types: Point prevalence: NSAIDS ? Period prevalence:
Classification, Direction, and Prevention of Bias in ... - JSTOR
The The The existing existing existing include include include framework framework framework isisis expanded expanded expanded to to to subclassification subclassification …
Cross-sectional study - BMJ Open
APPENDIX 1: Risk of bias Assessment Source of risk of bias assessment tool: Pillay-van Wyk V, Roomaney RA, Awotiwon OF, et al. Burden of Disease Review Manager for Systematic …
A scoping review shows that no single existing risk of bias …
Jun 4, 2024 · Bias, or systematic errors in the study design, conduct or analysis, can impact cross-sectional and prevalence studies in unique ways [3e5]. for example, selection bias is a …
Thunyarat Anothaisintawee, CROSS-SECTIONAL STUDY
• Principle & types of cross-sectional study designs • Advantages & disadvantages • Prevalence, prevalence ratio, prevalence odds ratio •Bias in cross-sectional studies • Usefulness of cross …
Risk of Bias Instrument for Cross-Sectional Surveys of …
Examples of higher risk of bias ("probably yes" or "probably no"): Formal assessment of comprehensiveness, clarity, and face validity of the questionnaire in a different population
Open Access Research Tools for assessing risk of reporting …
Some of the tools designed to assess the risk of bias due to selective non-reporting ask users to assess, for particular outcomes of interest, whether the outcome was not reported or only …
Cross sectional study 2015
Exposure status and disease status are measured at one point in time or over a period. Collected number of cases and number of total population. Can assess only prevalence of disease or …
Workshop 6 — Sources of bias in cross-sectional stu…
High-quality cross-sectional studies a questionnaire or responding agreeing to be are not easy to conduct, as …
Appraisal tool for Cross-Sectional Studies - BMJ Open
bility of introducing bias into the study. Identifying these key areas in CA requires good reporting of the …
Cross-Sectional Studies - CHEST
Investigators should be aware of bias when planning a cross-sectional study. Bias may be de fined as any …
Assessing risk of bias in included studies - Cochrane
Outline risk of bias in systematic reviews assessing sources of bias putting it into practice: ‘Risk of bias’ …
CROSS-SECTIONAL STUDY
You would like to perform the cross-sectional study to estimate the magnitude of vitamin D deficiency …
