JAMAevidence JAMA Guide to Statistics and Methods

JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Patient-Reported Outcome Measures in Clinical Research with Kevin P. Weinfurt, PhD, and Bryce B. Reeve, PhD. Related Content: Patient-Reported Outcome Measures in Clinical Research

Dr Kabir Yadav, Statistical Editor, discusses immortal time bias in observational studies with Dr Roger Lewis. They explore the misclassification of immortal time in observational studies compared to randomized trials, address the bias in the UK Biobank study, and examine the higher risk of cardiovascular events in women with premature menopause.

Lars W. Andersen, a medical doctor and researcher, discusses adjusting for baseline characteristics in randomized clinical trials. They explore the concept of confounders, the importance of adjusting for baseline characteristics, and different approaches to adjustment. They also discuss the impact of adjusting baseline characteristics on treatment effect estimates and highlight the significance of this adjustment for accurate interpretation of trial results.

Dr. Edward C. Norton discusses the best practices and applications of odds ratios in different fields, from gambling to medical research. They also explore the impact of controlling for factors in regression and demonstrate how odds ratios can be altered by various models. Additionally, they discuss the significance of controlling for specialty when examining the effect of gender on industry payments.

Dr. Roderick J. Little, PhD, discusses estimates, estimators, and their importance in capturing the benefit or risk of a treatment. They explore estimation in clinical practice, intention to treat vs per protocol estimates, benefits and challenges of randomization, and alternative methods for estimating trial products.

Roger J. Lewis, MD, PhD, discusses Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses with Valerie A. Smith, DrPH. Related Content: Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses of Clinical Trials

In this podcast, Dr Juliana Tolles discusses time-to-event analysis in clinical research. She explores the concept of survival curves, Kaplan-Meier curves, and statistical tests to compare survival rates. She also explains the differences between the log-rank test and the Cox proportional hazards model. Additionally, she analyzes the proportional hazard assumption and provides an example study comparing major adverse cardiac events.

JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Adjusting for Nonadherence or Stopping Treatments with Amanda I. Adler, MD, PhD, and Nicholas Latimer, PhD. Related Content: Adjusting for Nonadherence or Stopping Treatments in Randomized Clinical Trials

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

JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Using Latent Class Analysis to Identify Hidden Clinical Phenotypes with Heather G. Allore, PhD. Related Content: