Interviews with authors of JAMA Guide to Statistics and Methods chapters about common and new statistics and methods used in clinical research and reported in medical journals.
Multiple Comparison Procedures from the JAMA Guide to Statistics and Methods
JAMA Deputy Editor Edward Livingston, MD, discusses "Multiple Comparison Procedures" with Dr. Jing Cao, PhD
Logistic Regression—What It Is and How to Use It in Clinical Research
Logistic regression is one of the most commonly used statistical analytic tools in the medical literature. William Meurer, MD, from the University of Michigan, and Juliana Tolles, MD, from UCLA, discuss a JAMA Guide to Statistics and Methods article they wrote entitled “Logistic Regression Diagnostics: Understanding How Well a Model Predicts Outcomes.”
Randomization in Clinical Trials from the JAMA Guide to Statistics and Methods
Roger J. Lewis, MD, PhD, discusses Randomization in Clinical Trials from the JAMA Guide to Statistics and Methods
Randomization in Clinical Trials
The Stepped-Wedge Clinical Trial: Evaluation by Rolling Deployment
Cluster randomized trials are performed when an intervention must be delivered to a group of patients like when testing new nursing protocols on award or different means for cleaning beds on a ward. One type of cluster trials is called a stepped-wedge where every cluster in the study ultimately undergoes the intervention. How this works it is explained by Susan Ellenberg, PhD, from the Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania School of Medicine.
The Stepped-Wedge Clinical Trial
Minimal Clinically Important Difference: Defining What Really Matters to Patients
JAMA Deputy Editor Edward Livingston, MD, discusses Minimal Clinically Important Difference: Defining What Really Matters to Patients with Anna E. McGlothlin, PhD
Sample Size Calculation for a Hypothesis Test With Dr Lynne Stokes
One of the most common causes for problems we see in manuscripts at JAMA is an inappropriately calculated study sample size. This seemingly mysterious process is explained by Lynne Stokes, PhD, professor of Statistical Science at Southern Methodist University in Dallas, Texas.