
JAMAevidence JAMA Guide to Statistics and Methods
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.
Latest episodes

Nov 3, 2022 • 17min
Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data With Dr Lachin
JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data with John M. Lachin, ScD. Related Content: Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data

Sep 1, 2022 • 18min
Using Latent Class Analysis to Identify Hidden Clinical Phenotypes With Dr Heather G. Allore
JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Using Latent Class Analysis to Identify Hidden Clinical Phenotypes with Heather G. Allore, PhD. Related Content:

May 5, 2022 • 19min
Use of Run-in Periods in Randomized Trials With Dr Armitage
JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Use of Run-in Periods in Randomized Trials with Jane M. Armitage, MBBS. Related Content: Use of Run-in Periods in Randomized Trials With Dr Armitage Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive Women: The mPED Randomized Clinical Trial

Apr 7, 2022 • 18min
Regression Discontinuity Study Design to Estimate Observational Differences With Dr Maciejewski
JAMA Statistical Editor Roger Lewis, MD, discusses Regression Discontinuity Design with Matthew L. Maciejewski, PhD. Related Content: Regression Discontinuity Design Using Instrumental Variables to Address Bias From Unobserved Confounders

Dec 2, 2021 • 23min
Case-Control Studies: Using “Real-world” Evidence to Assess Association, With Dr Irony
JAMA Statistical Editor Roger Lewis, MD, discusses Case-Control Studies: Using “Real-world” Evidence to Assess Association, With Dr Irony.

Oct 7, 2021 • 22min
Equipoise in Research—Integrating Ethics and Science in Human Research
Roger J. Lewis, MD, PhD, discusses Equipoise in Research—Integrating Ethics and Science in Human Research with Alex John London, PhD Related Content: Equipoise in Research—Integrating Ethics and Science in Human Research

Sep 2, 2021 • 28min
Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials
Roger J. Lewis, MD, PhD, discusses Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials with Melanie Quintana, PhD Related Content: Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials Effect of Therapeutic Hypothermia Initiated After 6 Hours of Age on Death or Disability Among Newborns With Hypoxic-Ischemic Encephalopathy: A Randomized Clinical Trial Incorporating Adult Evidence Into Pediatric Research and Practice: Bayesian Designs to Expedite Obtaining Child-Specific Evidence

Aug 5, 2021 • 18min
Cost-effectiveness Analysis for Clinicians
Cost-effectiveness analysis defines trade-offs between costs, harms, and benefits of alternative treatments and combines them into a single metric, the incremental cost-effectiveness ratio (ICER), that can inform decisions about which interventions to recommend when limited resources are available. Gillian Sanders-Schmidler, PhD, professor of population health sciences and medicine at Duke University, explains the method in terms clinicians can understand. Related Article: Cost-effectiveness Analysis for Clinicians

Mar 4, 2021 • 23min
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

Jan 7, 2021 • 33min
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.” Related Article: Logistic Regression