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| cross sectional study cohort: 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 cohort: 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 cohort: 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 cohort: 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 cohort: Epidemiology and Biostatistics Bryan Kestenbaum, 2018-10-12 This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook Epidemiology and Biostatistics, 2nd Edition. It is written in concise and organized fashion with many examples to illustrate the concepts deriving from a collection of written materials created to teach Epidemiology and Biostatistics to medical students. The major differences from related titles include a “story” based approach toward teaching the material, relative brevity while maintaining focus on key concepts, and taking the perspective of first-time learners (avoiding and/or clearly defining jargon, using clear common-sense language). It features a variety of questions: long, short, and multiple choice questions. The workbook is made to provide students with the tools necessary to form their own informed conclusions from the clinical research literature. |
| cross sectional study cohort: 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 cohort: Age-Period-Cohort Analysis Yang Yang, Kenneth C. Land, 2016-04-19 This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. |
| cross sectional study cohort: 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 cohort: 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 cohort: 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 cohort: 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 cohort: Concepts of Epidemiology Raj S. Bhopal, 2016 First edition published in 2002. Second edition published in 2008. |
| cross sectional study cohort: 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 cohort: Cohort Studies in Health Sciences R. Mauricio Barría, 2018 Introductory Chapter: The Contribution of Cohort Studies to Health Sciences. |
| cross sectional study cohort: 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 cohort: Johns Hopkins Nursing Evidence-based Practice Deborah Dang, Sandra Dearholt, 2018 Appendix F_Nonresearch Evidence Appraisal Tool--Appendix G_Individual Evidence Summary Tool--Appendix H_Synthesis Process and Recommendations Tool -- Appendix I_Action Planning Tool -- Appendix J_Dissemination Tool |
| cross sectional study cohort: Longitudinal Qualitative Research Johnny Saldaña, 2003 Johnny Saldana outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition. Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Saldana presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective. |
| cross sectional study cohort: Cancer Epidemiology Isabel dos Santos Silva, International Agency for Research on Cancer, 1999 A basic textbook addressed to medical and public health students, clinicians, health professionals, and all others seeking to understand the principles and methods used in cancer epidemiology. Written by a prominent epidemiologist and experienced teacher at the London School of Hygiene and Tropical Medicine, the text aims to help readers become competent in the use of basic epidemiological tools and capable of exercising critical judgment when assessing results reported by others. Throughout the text, a lively writing style and numerous illustrative examples, often using real research data, facilitate an easy understanding of basic concepts and methods. Information ranges from an entertaining account of the origins of epidemiology, through advice on how to overcome some of the limitations of survival analysis, to a checklist of questions to ask when considering sources of bias. Although statistical concepts and formulae are presented, the emphasis is consistently on the interpretation of the data rather than on the actual calculations. The text has 18 chapters. The first six introduce the basic principles of epidemiology and statistics. Chapters 7-13 deal in more depth with each of the study designs and interpretation of their findings. Two chapters, concerned with the problems of confounding and study size, cover more complex statistical concepts and are included for advanced study. A chapter on methodological issues in cancer prevention gives examples of epidemiology's contribution to primary prevention, screening and other activities for early detection, and tertiary prevention. The concluding chapters review the role of cancer registries and discuss practical considerations that should be taken into account in the design, planning, and conduct of any type of epidemiological research. |
| cross sectional study cohort: 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 cohort: A Life Course Perspective on Health Trajectories and Transitions Claudine Burton-Jeangros, Stéphane Cullati, Amanda Sacker, David Blane, 2015-08-11 This open access book examines health trajectories and health transitions at different stages of the life course, including childhood, adulthood and later life. It provides findings that assess the role of biological and social transitions on health status over time. The essays examine a wide range of health issues, including the consequences of military service on body mass index, childhood obesity and cardiovascular health, socio-economic inequalities in preventive health care use, depression and anxiety during the child rearing period, health trajectories and transitions in people with cystic fibrosis and oral health over the life course. The book addresses theoretical, empirical and methodological issues as well as examines different national contexts, which help to identify factors of vulnerability and potential resources that support resilience available for specific groups and/or populations. Health reflects the ability of individuals to adapt to their social environment. This book analyzes health as a dynamic experience. It examines how different aspects of individual health unfold over time as a result of aging but also in relation to changing socioeconomic conditions. It also offers readers potential insights into public policies that affect the health status of a population. |
| cross sectional study cohort: Oxford Textbook of Public Health , 2002 |
| cross sectional study cohort: Encyclopedia of Behavioral Medicine Marc D. Gellman, J. Rick Turner, |
| cross sectional study cohort: 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 cohort: Evidence-based Medicine Sharon E. Straus, 2005 The accompanying CD-ROM contains clinical examples, critical appraisals and background papers. |
| cross sectional study cohort: 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 cohort: Longitudinal Data Analysis Garrett Fitzmaurice, Marie Davidian, Geert Verbeke, Geert Molenberghs, 2008-08-11 Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory |
| cross sectional study cohort: Asbestos Institute of Medicine, Board on Population Health and Public Health Practices, Committee on Asbestos: Selected Health Effects, 2006-09-23 In conjunction with drafting comprehensive legislation concerning compensation for health effects related to asbestos exposure (the Fairness in Asbestos Injury Act), the Senate Committee on the Judiciary directed the Institute of Medicine to assemble the Committee on Asbestos: Selected Health Effects. This committee was charged with addressing whether asbestos exposure is causally related to adverse health consequences in addition to asbestosis, mesothelioma, and lung cancer. Asbestos: Selected Cancers presents the committee's comprehensive distillation of the peer-reviewed scientific and medical literature regarding association between asbestos and colorectal, laryngeal, esophageal, pharyngeal, and stomach cancers. |
| cross sectional study cohort: Principles of Medical Statistics Austin Bradford Hill, 1971 |
| cross sectional study cohort: Comprehensive Systematic Review for Advanced Practice Nursing Cheryl Holly, EdD, RN, ANEF, FNAP, Susan Salmond, EdD, RN, FAAN, Maria Saimbert, PhD, PharmD, MSN, MLIS, RN, 2016-07-14 First Edition a 2013 Doody’s Core Title and AJN Book of the Year Award Winner! This text provides top-tier guidance for DNP students, graduate faculty, APRNs and other healthcare providers on how to use available research for improving patient outcomes and reducing costs. It is the only resource written expressly to meet the objectives of DNP courses. This second edition is completely updated and features three new approaches—umbrella reviews, mixed method reviews, and other types of reviews--for seeking, synthesizing, and interpreting available evidence to improve the delivery of patient care. The text also includes two new examples of completed systematic reviews and two completed proposals. The book presents, clearly and comprehensively, the knowledge and skills necessary to conduct a foundational comprehensive systematic review (CSR). It encompasses the complexities of the entire process, from asking clinical questions to getting the evidence into practice. The text includes question-specific methods and analysis and compares CSR methods, literature reviews, integrated reviews, and meta-studies. It describes how to find and appraise relevant studies, including the non-published “grey” literature and criteria for selecting or excluding studies, and describes how to use the results in practice. Also examined are ways to disemminate findings to benefit clinical practice and support best practices, and how to write a CSR proposal, final report and a policy brief based on systematic review findings. Plentiful examples, including two completed proposals and two completed systematic reviews, demonstrate every step of the process. An expanded resource chapter that can serve as a toolkit for conducting a systematic review is also provided. The text also covers useful software and includes objectives, summary points, end-of-chapter exercises, suggested readings and references. New to the Second Edition: • Three new chapters presenting new systematic review approaches: umbrella reviews, mixed method reviews, and other types of reviews including rapid and scoping reviews and reviews of text and opinoin • Two new examples of completed systematic reviews • Completely updated content throughout • Detailed information to foster systematic review research question development, efficient literature searches, and management of references Key Features: • Delivers the knowledge and skills necessary to conduct a CSR from start to finish • Serves as the only CSR resource written expressly for the advanced practice nurse • Describes useful software for conducting a systematic review • Provides rich examples including two completed CSRs • Includes objectives, summary points, end-of-chapter exercises, suggested readings and references • Provides a comprehensive toolkit of resources to complete a systematic review |
| cross sectional study cohort: 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 cohort: 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 cohort: 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 cohort: 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 cohort: 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 cohort: HIV and Aging M. Brennan-Ing, R.F. DeMarco, 2016-11-22 Despite decades of attention on building a global HIV research and programming agenda, HIV in older populations has generally been neglected until recently. This new book focuses on HIV and aging in the context of ageism with regard to prevention, treatment guidelines, funding, and the engagement of communities and health and social service organizations. The lack of perceived HIV risk in late adulthood among older people themselves, as well on the part of providers and society in general, has led to a lack of investment in education, testing, and programmatic responses. Ageism perpetuates the invisibility of older adults and, in turn, renders current medical and social service systems unprepared to respond to patients’ needs. While ageism may lead to some advantages – discounts for services, for example – it is the negative aspects that must be addressed when determining the appropriate community-level response to the epidemic. |
| cross sectional study cohort: Epidemiology in Medicine Julie E. Buring, 1987 Harvard Medical School, Boston. Textbook for medical and public health students. |
| cross sectional study cohort: 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 cohort: The Aging Skeleton Clifford Rosen, Julie Glowacki, John P. Bilezikian, 1999-08-19 The Aging Skeleton is a comprehensive and timely book on all aspects of the skeleton as it ages, including basic mechanisms and pathways as well as pathobiology. Chapters cover general aspects and models of aging, determinants and maintenance of peak bone mass, mechanisms of age-related bone loss, quantifiable manifestations of age-related bone loss, fractures, and therapeutics. - Covers all aspects of the aging skeleton in one comprehensive volume - Looks at the influence of genetics, nutrition, environment, hormones, and other factors on bone mass - Provides a thorough discussion of fractures, one of the major consequences of the aging skeleton - Reviews current therapeutic approaches and methods - Written by internationally renowned authors and edited by leaders in the field - Is the only book available on this subject |
| cross sectional study cohort: Methods in Observational Epidemiology Jennifer L. Kelsey, 1996 This is the second edition of the first book to provide a complete picture of the design, conduct and analysis of observational studies, the most common type of epidemiologic study. Stressing sample size estimation, sampling, and measurement error, the authors cover the full scope of observational studies, describing cohort studies, case-control studies, cross-sectional studies, and epidemic investigation. The use of statistical procedures is described in easy-to-understand terms. |
| cross sectional study cohort: Sample Size Calculations in Clinical Research Shein-Chung Chow, Jun Shao, Hansheng Wang, Yuliya Lokhnygina, 2017-08-15 Praise for the Second Edition: ... this is a useful, comprehensive compendium of almost every possible sample size formula. The strong organization and carefully defined formulae will aid any researcher designing a study. -Biometrics This impressive book contains formulae for computing sample size in a wide range of settings. One-sample studies and two-sample comparisons for quantitative, binary, and time-to-event outcomes are covered comprehensively, with separate sample size formulae for testing equality, non-inferiority, and equivalence. Many less familiar topics are also covered ... – Journal of the Royal Statistical Society Sample Size Calculations in Clinical Research, Third Edition presents statistical procedures for performing sample size calculations during various phases of clinical research and development. A comprehensive and unified presentation of statistical concepts and practical applications, this book includes a well-balanced summary of current and emerging clinical issues, regulatory requirements, and recently developed statistical methodologies for sample size calculation. Features: Compares the relative merits and disadvantages of statistical methods for sample size calculations Explains how the formulae and procedures for sample size calculations can be used in a variety of clinical research and development stages Presents real-world examples from several therapeutic areas, including cardiovascular medicine, the central nervous system, anti-infective medicine, oncology, and women’s health Provides sample size calculations for dose response studies, microarray studies, and Bayesian approaches This new edition is updated throughout, includes many new sections, and five new chapters on emerging topics: two stage seamless adaptive designs, cluster randomized trial design, zero-inflated Poisson distribution, clinical trials with extremely low incidence rates, and clinical trial simulation. |
The Cross-Sectional Cohort Study - JSTOR
The cross-sectional cohort design involves cross-sec tional sampling to obtain a study cohort and then retrospec tive assessment of the history of exposures and outcomes in
NON-EXPERIMENTAL STUDIES ABOUT BENEFIT, HARM OR …
Cross-sectional studies: The cross-sectional study has an identical structure to the cohort study except that the exposures and outcomes are measured at the same time (i.e. cross …
CHECKLIST FOR ANALYTICAL CROSS SECTIONAL STUDIES
A high quality study at the level of cohort design will identify the potential confounders and measure them (where possible). This is difficult for studies where behavioral, attitudinal or …
Cross sectional Studies - UNC Gillings School of Global Public …
Descriptive cross-sectional studies are widely used to estimate the occurrence of risk factors in segments of the population characterized by age, sex, race or
Quality Assessment Tool for Observational Cohort and Cross …
Sometimes cross-sectional studies are conducted (or cross-sectional analyses of cohort-study data), where the exposures and outcomes are measured during the same timeframe. As a …
Study Design Cross-sectional, case-control and cohort studies
Cohort studies •Follow a group of people who do not initially have the outcome of interest and determine whether they develop the disease. •Descriptive cohort studies measure disease …
Cross-Sectional Studies - CHEST
Cross-sectional studies are observational studies that analyze data from a population at a single point in time. They are often used to measure the prevalence of health outcomes, understand …
How to Conduct and Write a Cross-sectional Study
Cross sectional study design involves observation of variable/s at a particular point in time. It can be descriptive or analytical. Descriptive cross-sectional study design measures prevalence of …
RESEARCH SERIES Observational research methods. Research …
Cohort studies are used to study incidence, causes, and prognosis. Because they measure events in chronological order they can be used to distinguish between cause and effect. Cross …
Evidence Pyramid - Levels of Evidence - University of New …
Cohort Study: A longitudinal study that begins with the gathering of two groups of patients (the cohorts), one that received the exposure (e.g., to a disease) and one that does not, and then …
Chapter 9: Cross-Sectional Studies - Springer
One type of cross-sectional study can be made to look like a cohort study. Instead of following one group over time, different age groups are studied cross-sectionally.
An overview of cohort study designs and their advantages …
the study will be a cohort study (moving forward from exposure to outcome), a case-control study (moving from outcome to exposure), or a cross-sectional study in which exposure and...
The Cross-Sectional Cohort Study
cohort, or retrospective cohort designs. The “cross-sectional cohort study,” as it is termed here, represents an alternative to these standard methods. With this design, an investigator samples …
Sample Size for a Cross-Sectional, Cohort, or Clinical Trial
This module calculates sample size for a cross-sectional study, a cohort study, or a clinical trial. The data input screen is as follows: Two-sided confidence level – most individuals would …
Cohort Studies: Design, Analysis, and Reporting - CHEST
Unlike cross-sectional studies, which are often used to determine prevalence, cohort studies are used to study incidence, causes, and prognosis. AFFILIATIONS: Lerner Research Institute, …
Selecting the appropriate study design: Case–control and …
This article discusses the observational analytic study designs, i.e., case–control and cohort studies. These two study designs are useful for testing a hypothesis to determine the …
Is Determination of Predictors by Cross-Sectional Study Valid?
Regardless of the results obtained from the model, it is crucial to emphasize that accurate predictions cannot be guaranteed by cross-sectional study. Rather, development of prediction …
Ethical Issues in Cross-Sectional, Observational Studies and …
Cohort studies describe incidence or natural history. They analyze predictors (risk factors) thereby enabling calculation of relative risk. Cohort studies measure causes from effects. • …
Research methodology topics: Cross-sectional studies
normally four types of study design are used: case series studies, cross-section studies, case-control studies and cohort studies. Thus, cross-sectional studies are very useful in descriptive …
The Cross-Sectional Cohort Study - JSTOR
The cross-sectional cohort design involves cross-sec tional sampling to obtain a study cohort and then retrospec tive assessment of the history of exposures and outcomes in
NON-EXPERIMENTAL STUDIES ABOUT BENEFIT, HARM OR …
Cross-sectional studies: The cross-sectional study has an identical structure to the cohort study except that the exposures and outcomes are measured at the same time (i.e. cross …
CHECKLIST FOR ANALYTICAL CROSS SECTIONAL STUDIES
A high quality study at the level of cohort design will identify the potential confounders and measure them (where possible). This is difficult for studies where behavioral, attitudinal or …
Prospective, retrospective, and cross-sectional studies
Cross-sectional studies Summary Prospective studies We have said that the double-blind, randomized controlled trial is the gold standard of biomedical research When this is not …
Cross sectional Studies - UNC Gillings School of Global Public …
Descriptive cross-sectional studies are widely used to estimate the occurrence of risk factors in segments of the population characterized by age, sex, race or
Quality Assessment Tool for Observational Cohort and …
Sometimes cross-sectional studies are conducted (or cross-sectional analyses of cohort-study data), where the exposures and outcomes are measured during the same timeframe. As a …
Study Design Cross-sectional, case-control and cohort studies
Cohort studies •Follow a group of people who do not initially have the outcome of interest and determine whether they develop the disease. •Descriptive cohort studies measure disease …
Cross-Sectional Studies - CHEST
Cross-sectional studies are observational studies that analyze data from a population at a single point in time. They are often used to measure the prevalence of health outcomes, understand …
How to Conduct and Write a Cross-sectional Study
Cross sectional study design involves observation of variable/s at a particular point in time. It can be descriptive or analytical. Descriptive cross-sectional study design measures prevalence of …
RESEARCH SERIES Observational research methods. …
Cohort studies are used to study incidence, causes, and prognosis. Because they measure events in chronological order they can be used to distinguish between cause and effect. Cross …
Evidence Pyramid - Levels of Evidence - University of New …
Cohort Study: A longitudinal study that begins with the gathering of two groups of patients (the cohorts), one that received the exposure (e.g., to a disease) and one that does not, and then …
Chapter 9: Cross-Sectional Studies - Springer
One type of cross-sectional study can be made to look like a cohort study. Instead of following one group over time, different age groups are studied cross-sectionally.
An overview of cohort study designs and their advantages …
the study will be a cohort study (moving forward from exposure to outcome), a case-control study (moving from outcome to exposure), or a cross-sectional study in which exposure and...
The Cross-Sectional Cohort Study
cohort, or retrospective cohort designs. The “cross-sectional cohort study,” as it is termed here, represents an alternative to these standard methods. With this design, an investigator samples …
Sample Size for a Cross-Sectional, Cohort, or Clinical Trial
This module calculates sample size for a cross-sectional study, a cohort study, or a clinical trial. The data input screen is as follows: Two-sided confidence level – most individuals would …
Cohort Studies: Design, Analysis, and Reporting - CHEST
Unlike cross-sectional studies, which are often used to determine prevalence, cohort studies are used to study incidence, causes, and prognosis. AFFILIATIONS: Lerner Research Institute, …
Selecting the appropriate study design: Case–control and …
This article discusses the observational analytic study designs, i.e., case–control and cohort studies. These two study designs are useful for testing a hypothesis to determine the …
Is Determination of Predictors by Cross-Sectional Study Valid?
Regardless of the results obtained from the model, it is crucial to emphasize that accurate predictions cannot be guaranteed by cross-sectional study. Rather, development of prediction …
Ethical Issues in Cross-Sectional, Observational Studies and …
Cohort studies describe incidence or natural history. They analyze predictors (risk factors) thereby enabling calculation of relative risk. Cohort studies measure causes from effects. • …
Research methodology topics: Cross-sectional studies
normally four types of study design are used: case series studies, cross-section studies, case-control studies and cohort studies. Thus, cross-sectional studies are very useful in descriptive …
