

JAMAevidence JAMA Guide to Statistics and Methods
JAMA Network
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.
Episodes
Mentioned books
Nov 2, 2023 • 12min
Odds Ratios—Current Best Practice and Use With Dr Norton
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.
Aug 3, 2023 • 22min
Estimands, Estimators, and Estimates With Dr Little
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.
May 4, 2023 • 18min
Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses With Dr Smith
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
Mar 3, 2023 • 11min
Time-to-Event Analysis With Dr Tolles
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.
Jan 5, 2023 • 18min
Adjusting for Nonadherence or Stopping Treatments With Drs Adler and Latimer
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
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: Using Latent Class Analysis to Identify Hidden Clinical Phenotypes With Dr Heather G. Allore
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.


