JAMA Guide to Statistics and Methods

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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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.