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JAMA Guide to Statistics and Methods

JAMA Guide to Statistics and Methods


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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.




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



About the Author :
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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Product Details
  • ISBN-13: 9781260455328
  • Publisher: McGraw-Hill Education
  • Publisher Imprint: Mcgraw-Hill Education
  • Height: 178 mm
  • No of Pages: 528
  • Spine Width: 23 mm
  • Width: 114 mm
  • ISBN-10: 1260455327
  • Publisher Date: 11 Dec 2019
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 414 gr


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