JAMAevidence JAMA Guide to Statistics and Methods

JAMA Network

Clinical Trials

Statistical Analysis

Deep Learning

Medical Image Analysis

Genome-Wide Association Studies

Causal Inference

Machine Learning

Neural Networks

Non-Parametric Statistical Analysis

Factorial Clinical Trials

JAMA Network

Bayesian Hierarchical Modeling

Target Trial Emulation

Immortal Time Bias

AI In Medicine

Missing Data

Treatment Effects

Sequential Multiple Assignment Randomized Trials

Biostatistics

Randomized Clinical Trials

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.

53 ratings

Publishes	Monthly	Episodes	45	Founded	6 years ago
Number of Listeners		Categories	Health & FitnessMedicineScience

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Latest Episodes

Pattern-Mixture Models for Missing Data With Dr Little

Roderick Little, PhD, University of Michigan School of Public Health Departments of Epidemiology & Biostatistics discusses Pattern-Mixture Models for Missing Data with Roger J. Lewis, MD, PhD, statistical editor for JAMA. Related Content:

• Patter... more

1 Jul 2026 • 23 min • Most popular

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Interpretation of Clinical Trials That Stopped Early With Dr Viele

Kert Viele, PhD, director and senior statistical scientist at Berry Consultants, discusses "Interpretation of Clinical Trials That Stopped Early" with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content:

• Interpretation of Clinical T... more

4 Jun 2026 • 17 min

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Test-Negative Study Designs for Evaluating Vaccine Effectiveness With Dr Dean

Natalie Exner Dean, PhD, Associate Professor, Rollins School of Public Health, Emory University, discusses Test-Negative Study Designs for Evaluating Vaccine Effectiveness with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content:

• Te... more

2 Apr 2026 • 13 min

YouTube

Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb

Steve A. Webb, MBBS, MPH, PhD, professor, Royal Perth Hospital, The University of Western Australia discusses Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related C... more

5 Mar 2026 • 17 min

YouTube

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Recent Guests

Roderick Little

Emeritus Professor of Biostatistics, University of Michigan

University of Michigan

Episode: Pattern-Mixture Models for Missing Data With Dr Little

Kert Viele

Biostatistician; Director of Research at Berry Consultants

Berry Consultants

Episode: Interpretation of Clinical Trials That Stopped Early With Dr Viele

Natalie Dean

Associate Professor in Biostatistics and Bioinformatics at Emory University

Emory Rollins School of Public Health

Episode: Test-Negative Study Designs for Evaluating Vaccine Effectiveness With Dr Dean

Steve Webb

Professor, intensive care physician

Monash University

Episode: Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb

Dr. Kendra Sims

Post-doctoral associate at the Boston University School of Public Health specializing in cardiovascular and cognitive health outcomes.

Boston University School of Public Health

Episode: Tipping Point Analysis: Assessing the Potential Impact of Missing Data With Dr Sims

Professor Edward Norton

An economist and the United Health Care Professor at the University of Michigan, involved in statistical methods and causal inference.

University of Michigan

Episode: Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton

Dr. Jody Ciolino

Associate professor in the Department of Preventive Medicine within the Division of Biostatistics and Informatics

Northwestern University

Episode: Factorial Clinical Trial Designs With Dr Ciolino

Professor Maria Brooks

Professor at the University of Pittsburgh's Department of Epidemiology

University of Pittsburgh

Episode: JAMA Guide to Statistics and Methods: Assessing Unexpected Circumstances That Lead to Modifications in Clinical Trial Design, Conduct, or Analysis With Professor Brooks

Dr. John Lachin

An emeritus research professor of bioinformatics and statistics at the Milken Institute School of Public Health at the George Washington University.

Milken Institute School of Public Health, George Washington University

Episode: Nonparametric Statistical Analysis With Dr Lachin

Host

Dr. Roger Lewis

Host of the episode and Senior Statistical Editor for JAMA/JAMA Network; involved in guiding statistics and methods coverage.

Reviews

4.7 out of 5 stars from 53 ratings

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Apple Podcasts	#114	Spain/Health & Fitness/Medicine
Apple Podcasts	#157	Argentina/Health & Fitness/Medicine
Apple Podcasts	#202	China/Health & Fitness/Medicine
Apple Podcasts	#202	Israel/Health & Fitness/Medicine
Apple Podcasts	#218	Ukraine/Health & Fitness/Medicine
Apple Podcasts	#221	Colombia/Health & Fitness/Medicine

Talking Points

Recent interactions between the hosts and their guests.

Pattern-Mixture Models for Missing Data With Dr Little

Q: What was learned from the PTSD study example mentioned in the episode?

In the PTSD study, even when applying progressively larger deltas to the treatment group to simulate more missing-not-at-random scenarios, the treatment effect remained significant up to a point, suggesting the result was not solely due to missing data bias and was relatively robust.

Pattern-Mixture Models for Missing Data With Dr Little

Q: What is the tipping point in this context, and why is it important?

The tipping point is the value of delta at which the treatment effect loses statistical significance. It helps determine whether the study's conclusions are plausible under reasonable departures from missing-at-random assumptions, indicating robustness or potential vulnerability to missing data bias.

Pattern-Mixture Models for Missing Data With Dr Little

Q: How does the delta parameter function in these analyses?

The delta parameter represents a shift in the mean of the predictive distribution for missing values relative to observed values. By varying delta, researchers explore how much deviation from the missing-at-random assumption could alter conclusions, effectively measuring sensitivity to missing data.

Pattern-Mixture Models for Missing Data With Dr Little

Q: What is a pattern mixture model and how does it address missing data?

A pattern mixture model classifies data by the pattern of missingness and models the distribution of study variables within each pattern. Then results are mixed across patterns to produce an overall treatment effect that accounts for differences between observed and missing data patterns, allowing assessment of robustness to missing-at-random assumptions.

Pattern-Mixture Models for Missing Data With Dr Little

Q: Can you explain in simple terms what missing data are and why they matter in clinical trials?

Missing data are values that were not recorded for study participants, often due to dropouts or incomplete measurements. They matter because if the missingness is related to outcomes or treatments, it can bias estimates of treatment effects and undermine the validity of the trial unless appropriate methods or design protections are used.

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What is This Podcast about and what kind of topics does it cover?

This show features conversations with leading statisticians and methodologists who work at universities, medical journals, and research organizations, focusing on practical statistics and design issues that arise in clinical research. Episodes cover topics such as interim analyses and stopping rules, test-negative designs for vaccine effectiveness, handling missing data, instrumental variables and causal inference, factorial trial designs, and responses to unexpected events that alter study protocols. Real-world examples and concrete takeaways are common, with an emphasis on rigorous pre-specification, transparent reporting, and methods that balance efficiency with credibility. The format often blends theory with application, making it usef... more

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this podcast launched 6 years ago and published 45 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on this podcast include:

1. Roderick Little
2. Kert Viele
3. Natalie Dean
4. Steve Webb
5. Dr. Kendra Sims
6. Professor Edward Norton
7. Dr. Jody Ciolino
8. Professor Maria Brooks

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