Design Of Observational Studies

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Design of Observational Studies

Author : Paul R. Rosenbaum
Publisher : Springer Nature
Page : 552 pages
File Size : 45,7 Mb
Release : 2020-07-13
Category : Mathematics
ISBN : 9783030464059

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Design of Observational Studies by Paul R. Rosenbaum Pdf

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

Design of Observational Studies

Author : Paul R. Rosenbaum
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 47,7 Mb
Release : 2009-10-22
Category : Mathematics
ISBN : 9781441912138

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Design of Observational Studies by Paul R. Rosenbaum Pdf

An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002.

Design of Observational Studies

Author : Paul R. Rosenbaum
Publisher : Unknown
Page : 404 pages
File Size : 54,5 Mb
Release : 2011-03-18
Category : Electronic
ISBN : 1441912142

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Design of Observational Studies by Paul R. Rosenbaum Pdf

Observational Studies

Author : Paul R. Rosenbaum
Publisher : Springer Science & Business Media
Page : 244 pages
File Size : 43,9 Mb
Release : 2013-06-29
Category : Mathematics
ISBN : 9781475724431

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Observational Studies by Paul R. Rosenbaum Pdf

An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.

Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide

Author : Agency for Health Care Research and Quality (U.S.)
Publisher : Government Printing Office
Page : 204 pages
File Size : 52,7 Mb
Release : 2013-02-21
Category : Medical
ISBN : 9781587634239

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Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide by Agency for Health Care Research and Quality (U.S.) Pdf

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)

Observation and Experiment

Author : Paul Rosenbaum
Publisher : Harvard University Press
Page : 395 pages
File Size : 47,9 Mb
Release : 2017-08-14
Category : Mathematics
ISBN : 9780674975576

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Observation and Experiment by Paul Rosenbaum Pdf

In the face of conflicting claims about some treatments, behaviors, and policies, the question arises: What is the most scientifically rigorous way to draw conclusions about cause and effect in the study of humans? In this introduction to causal inference, Paul Rosenbaum explains key concepts and methods through real-world examples.

Replication and Evidence Factors in Observational Studies

Author : Paul Rosenbaum
Publisher : CRC Press
Page : 273 pages
File Size : 53,9 Mb
Release : 2021-03-30
Category : Mathematics
ISBN : 9781000370027

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Replication and Evidence Factors in Observational Studies by Paul Rosenbaum Pdf

Outside of randomized experiments, association does not imply causation, and yet there is nothing defective about our knowledge that smoking causes lung cancer, a conclusion reached in the absence of randomized experimentation with humans. How is that possible? If observed associations do not identify causal effects in observational studies, how can a sequence of such associations become decisive? Two or more associations may each be susceptible to unmeasured biases, yet not susceptible to the same biases. An observational study has two evidence factors if it provides two comparisons susceptible to different biases that may be combined as if from independent studies of different data by different investigators, despite using the same data twice. If the two factors concur, then they may exhibit greater insensitivity to unmeasured biases than either factor exhibits on its own. Replication and Evidence Factors in Observational Studies includes four parts: A concise introduction to causal inference, making the book self-contained Practical examples of evidence factors from the health and social sciences with analyses in R The theory of evidence factors Study design with evidence factors A companion R package evident is available from CRAN.

Principles of Research Design and Drug Literature Evaluation

Author : Rajender R. Aparasu,John P. Bentley
Publisher : Jones & Bartlett Publishers
Page : 400 pages
File Size : 50,8 Mb
Release : 2014-03-07
Category : Medical
ISBN : 9781449691318

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Principles of Research Design and Drug Literature Evaluation by Rajender R. Aparasu,John P. Bentley Pdf

Principles of Research Design and Drug Literature Evaluation is a unique resource that provides a balanced approach covering critical elements of clinical research, biostatistical principles, and scientific literature evaluation techniques for evidence-based medicine. This accessible text provides comprehensive course content that meets and exceeds the curriculum standards set by the Accreditation Council for Pharmacy Education (ACPE). Written by expert authors specializing in pharmacy practice and research, this valuable text will provide pharmacy students and practitioners with a thorough understanding of the principles and practices of drug literature evaluation with a strong grounding in research and biostatistical principles. Principles of Research Design and Drug Literature Evaluation is an ideal foundation for professional pharmacy students and a key resource for pharmacy residents, research fellows, practitioners, and clinical researchers. FEATURES * Chapter Pedagogy: Learning Objectives, Review Questions, References, and Online Resources * Instructor Resources: PowerPoint Presentations, Test Bank, and an Answer Key * Student Resources: a Navigate Companion Website, including Crossword Puzzles, Interactive Flash Cards, Interactive Glossary, Matching Questions, and Web Links From the Foreword: "This book was designed to provide and encourage practitioner’s development and use of critical drug information evaluation skills through a deeper understanding of the foundational principles of study design and statistical methods. Because guidance on how a study’s limited findings should not be used is rare, practitioners must understand and evaluate for themselves the veracity and implications of the inherently limited primary literature findings they use as sources of drug information to make evidence-based decisions together with their patients. The editors organized the book into three supporting sections to meet their pedagogical goals and address practitioners’ needs in translating research into practice. Thanks to the editors, authors, and content of this book, you can now be more prepared than ever before for translating research into practice." L. Douglas Ried, PhD, FAPhA Editor-in-Chief Emeritus, Journal of the American Pharmacists Association Professor and Associate Dean for Academic Affairs, College of Pharmacy, University of Texas at Tyler, Tyler, Texas

Assessment of Cancer Screening

Author : Pamela M. Marcus
Publisher : Springer Nature
Page : 138 pages
File Size : 40,9 Mb
Release : 2022
Category : Biology-Research
ISBN : 9783030945770

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Assessment of Cancer Screening by Pamela M. Marcus Pdf

Cancer screening is a prominent strategy in cancer control in the United States, yet the ability to correctly interpret cancer screening data eludes many researchers, clinicians, and policy makers. This open access primer rectifies that situation by teaching readers, in simple language and with straightforward examples, why and how the population-level cancer burden changes when screening is implemented, and how we assess whether that change is of benefit. This book provides an in-depth look at the many aspects of cancer screening and its assessment, including screening phenomena, performance measures, population-level outcomes, research designs, and other important and timely topics. Concise, accessible, and focused, Assessment of Cancer Screening: A Primer is best suited to those with education or experience in clinical research or public health in the United States - no previous knowledge of cancer screening assessment is necessary. This is the first text dedicated to cancer screening theory and methodology to be published in 20 years.

How to Practice Academic Medicine and Publish from Developing Countries?

Author : Samiran Nundy,Atul Kakar,Zulfiqar A. Bhutta
Publisher : Springer Nature
Page : 475 pages
File Size : 41,9 Mb
Release : 2021-10-23
Category : Medical
ISBN : 9789811652486

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How to Practice Academic Medicine and Publish from Developing Countries? by Samiran Nundy,Atul Kakar,Zulfiqar A. Bhutta Pdf

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.

Design and Analysis of Experiments and Observational Studies using R

Author : Nathan Taback
Publisher : CRC Press
Page : 329 pages
File Size : 45,8 Mb
Release : 2022-03-10
Category : Mathematics
ISBN : 9781000554199

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Design and Analysis of Experiments and Observational Studies using R by Nathan Taback Pdf

Introduction to Design and Analysis of Scientific Studies exposes undergraduate and graduate students to the foundations of classical experimental design and observational studies through a modern framework - The Rubin Causal Model. A causal inference framework is important in design, data collection and analysis since it provides a framework for investigators to readily evaluate study limitations and draw appropriate conclusions. R is used to implement designs and analyse the data collected. Features: Classical experimental design with an emphasis on computation using tidyverse packages in R. Applications of experimental design to clinical trials, A/B testing, and other modern examples. Discussion of the link between classical experimental design and causal inference. The role of randomization in experimental design and sampling in the big data era. Exercises with solutions. Instructor slides in RMarkdown, a new R package will be developed to be used with book, and a bookdown version of the book will be freely available. The proposed book will emphasize ethics, communication and decision making as part of design, data analysis, and statistical thinking.

Matched Sampling for Causal Effects

Author : Donald B. Rubin
Publisher : Cambridge University Press
Page : 5 pages
File Size : 47,7 Mb
Release : 2006-09-04
Category : Mathematics
ISBN : 9781139458504

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Matched Sampling for Causal Effects by Donald B. Rubin Pdf

Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments are not available or cannot be conducted. This book presents a selection of Donald B. Rubin's research articles on matched sampling, from the early 1970s, when the author was one of the major researchers involved in establishing the field, to recent contributions to this now extremely active area. The articles include fundamental theoretical studies that have become classics, important extensions, and real applications that range from breast cancer treatments to tobacco litigation to studies of criminal tendencies. They are organized into seven parts, each with an introduction by the author that provides historical and personal context and discusses the relevance of the work today. A concluding essay offers advice to investigators designing observational studies. The book provides an accessible introduction to the study of matched sampling and will be an indispensable reference for students and researchers.

Bridging the Evidence Gap in Obesity Prevention

Author : Institute of Medicine,Food and Nutrition Board,Committee on an Evidence Framework for Obesity Prevention Decision Making
Publisher : National Academies Press
Page : 336 pages
File Size : 42,6 Mb
Release : 2010-12-24
Category : Medical
ISBN : 9780309149891

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Bridging the Evidence Gap in Obesity Prevention by Institute of Medicine,Food and Nutrition Board,Committee on an Evidence Framework for Obesity Prevention Decision Making Pdf

To battle the obesity epidemic in America, health care professionals and policymakers need relevant, useful data on the effectiveness of obesity prevention policies and programs. Bridging the Evidence Gap in Obesity Prevention identifies a new approach to decision making and research on obesity prevention to use a systems perspective to gain a broader understanding of the context of obesity and the many factors that influence it.

Planning Clinical Research

Author : Robert A. Parker,Nancy G. Berman
Publisher : Cambridge University Press
Page : 445 pages
File Size : 40,6 Mb
Release : 2016-10-12
Category : Mathematics
ISBN : 9780521840637

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Planning Clinical Research by Robert A. Parker,Nancy G. Berman Pdf

Planning clinical research requires many decisions. The authors of this book explain key decisions with examples showing what works and what does not.

Encyclopedia of Research Design

Author : Neil J. Salkind
Publisher : SAGE
Page : 1779 pages
File Size : 46,9 Mb
Release : 2010-06-22
Category : Philosophy
ISBN : 9781412961271

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Encyclopedia of Research Design by Neil J. Salkind Pdf

"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.