Overview

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. The world-renowned experts at JAMA® explain statistical analysis and the methods used in medical research  Written in the language and style appropriate for clinicians and researchers, this new JAMA Guide to Statistics and Methods provides explanations and expert discussion of the statistical analytic approaches and methods used in the medical research reported in articles appearing in JAMA and the JAMA Network journals.  This addition to the JAMAevidence® series is particularly timely and necessary because today’s physicians and other health care professionals must pursue lifelong learning to keep up with the ever-expanding universe of new medical science and evidence-based clinical information. Readers and users of research articles must have a firm grasp of the myriad new statistical, analytic, and methodologic approaches used in contemporary medical studies. To provide concrete examples, the explanations in the book link to research articles that incorporate the specific statistical test or methodological approach being discussed.

Full Product Details

Author:   Edward Livingston ,  Roger Lewis
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Dimensions:   Width: 11.40cm , Height: 2.30cm , Length: 17.80cm
Weight:   0.363kg
ISBN:  

9781260455328

ISBN 10:   1260455327
Pages:   528
Publication Date:   11 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order  
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Table of Contents

Part I: Interventional Studies Section I: Overall Trial Strategy Noninferiority Trials Does-Finding Trials Pragmatic Trials Cluster Randomized Trials Section II: Clinical Trial Design Samples Size Calculation for a Hypothesis Test Minimal Clinically Importance Difference Section III: Enrollment, Allocation of Treatment, Ethics Randomization Strategies Equipoise in Research Section IV: Measurement of Outcome Time-to-Event Analysis Utility and Composite Outcomes Missing Data Section V:Analysis and Interpretation of Results The Intention-to-Treat Principle Analyzing Repeated Measurements/Mixed Models Logistic Regression Logistic Regression Diagnostics Variable Selection in Regression Multiple Comparison Procedures Gatekeeping Strategies Multiple Imputation Interpretation of Clinical Trials that Stopped Early Bayesian Modeling Section VI: Application of Results Decision Curve Analysis Methods for Evaluating Changes in Health Care Meta-Analysis Possible: Psychiatry VP loannidis Part II: Observational Studies Section I: Study Design Case-Control Studies Matched Case-Control Studies Section II: Assessment of Risk Factors and Exposures Mendelian Randomization Confounding in Observational Studies Confounding by Indication Section III: Analysis and Interpretation of Results The Propensity Score Covariate Adjustment Possible Instrumental Variable Matching Genetic Association Studies Section IV: Application of Results Evaluation Discrimination of Risk Prediction Models

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Author Information

Edward H. Livingston, MD is Contributing Editor for JAMAevidence, Deputy Editor for JAMA, and the Clinical Reviews and Education Editor for the JAMA Network. Dr Livingston is also Professor of Surgery at UCLA Medical School and an Adjunct Professor of Surgery at Northwestern University. He previously served as Professor and Chair of Gastrointestinal and Endocrine Surgery and Professor and Chair of Biomedical Engineering at the University of Texas Southwestern School of Medicine. Roger J. Lewis, MD, PhD is Chair of the Department of Emergency Medicine at Harbor-UCLA Medical Center, Professor and Vice Chair in the Department of Emergency Medicine at the David Geffen School of Medicine at UCLA, and the Senior Medical Scientist at Berry Consultants, LLC. Dr. Lewis is a member of the National Academy of Medicine of the National Academies and a Fellow of both the Society for Clinical Trials and the American Statistical Association.

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