JAMAevidence JAMA Guide to Statistics and Methods

JAMA Network

Clinical Trials

Statistical Analysis

Deep Learning

Medical Image Analysis

Genome-Wide Association Studies

Machine Learning

Neural Networks

Non-Parametric Statistical Analysis

Factorial Clinical Trials

JAMA Network

Immortal Time Bias

AI In Medicine

Target Trial Emulation

Bayesian Hierarchical Modeling

Randomized Clinical Trials

Dermatology

Ophthalmology

Sequential Multiple Assignment Randomized Trials

Biostatistics

Treatment Effects

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.

51 ratings

Publishes	Monthly	Episodes	40	Founded	5 years ago
Number of Listeners		Categories	Health & FitnessMedicineScience

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Latest Episodes

Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton

Edward C. Norton, PhD, University of Michigan Health Management and Policy, discusses Instrumental Variables and Heterogeneous Treatment Effects with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content:

• Instrumental Variables and H... more

4 Sep 2025 • 18 min

YouTube

Factorial Clinical Trial Designs With Dr Ciolino

Jody D. Ciolino, PhD, Northwestern University, Feinberg School of Medicine discusses Factorial Clinical Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD Related Content:

• Factorial Clinical Trial Designs

• Reporting of Factori... more

7 Aug 2025 • 19 min

YouTube

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

Maria Mori Brooks, PhD, University of Pittsburgh School of Public Health, discusses "Assessing Unexpected Circumstances That Lead to Modifications in Clinical Trial Design, Conduct, or Analysis" in the JAMA Guide to Statistics and Methods series, wit... more

3 Jul 2025 • 16 min

JAMA Guide to Statistics and Methods: Collider Bias With Dr Andersen

Lars W. Andersen, MD, MPH, PhD, DMSc, Aarhus University, discusses collider bias in the JAMA Guide to Statistics and Methods series with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content:

• Collider Bias

5 Jun 2025 • 19 min

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Recent Guests

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

Andrew Althouse

Senior Principal Statistician at Medtronic, formerly with the University of Pittsburgh School of Medicine

Medtronic

Episode: The Use of Historical Controls in Clinical Trials, With Dr Althouse

Professor William Meurer

Professor of Emergency Medicine and Neurology at the University of Michigan at Ann Arbor, focusing on neurologic emergencies

University of Michigan

Episode: Interim Analyses During Group Sequential Trials With Dr Meurer

Professor Jerry Rotter

Director of the Institute for Translational Genomics and Population Sciences, Professor of Pediatrics and Human Genetics

Lundquist Institute at Harbor-UCLA Medical Center

Episode: Genome-Wide Association Studies With Dr Rotter

Dr. Anna McGlothlin

Director and Senior Statistical Scientist at Berry Consultants

Berry Consultants

Episode: Bayesian Hierarchical Models With Dr McGlothlin

Dr. Kelley Kidwell

Professor of biostatistics at the University of Michigan School of Public Health

University of Michigan

Episode: Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell

Host

Dr. Roger Lewis

Senior Statistical Editor for JAMA and editor of the JAMA Guide to Statistics and Methods series.

Reviews

4.7 out of 5 stars from 51 ratings

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Chart Rankings

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Apple Podcasts	#29	Hong Kong/Health & Fitness/Medicine
Apple Podcasts	#80	Sweden/Health & Fitness/Medicine
Apple Podcasts	#81	South Korea/Health & Fitness/Medicine
Apple Podcasts	#99	Finland/Health & Fitness/Medicine
Apple Podcasts	#108	Denmark/Health & Fitness/Medicine
Apple Podcasts	#136	Argentina/Health & Fitness/Medicine

Talking Points

Recent interactions between the hosts and their guests.

Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton

Q: What do you think are the key takeaways from your article for our listeners?

Understand that while RCTs are ideal, they may not always be possible, and instrumental variables can help tease out causal effects from observational data, acknowledging that these effects may only apply to specific populations.

Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton

Q: How does instrumental variable analysis adjust or account for the fact that some participants' treatments are affected by the instrumental variable and some aren't?

It focuses on the population that is influenced by the instrumental variable, termed 'compliers', to derive relevant treatment effects.

Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton

Q: What is an instrumental variable and what does it allow us to do that we couldn't otherwise do with observational data?

An instrumental variable allows us to create a situation similar to randomization to analyze the impact of treatments in observational data, which would not be feasible in a randomized control trial.

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

Q: Could you describe for us a little bit how that was done, and specifically with respect to the approach that's recommended by the Conserve Guideline?

The Codex trial utilized the Conserve Guidelines retroactively, detailing their decision-making process regarding the trial's termination due to external data.

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

Q: So let's start by talking about the conserved guidelines and what the basic principles are regarding how we should handle these types of situations.

The Conserved Guidelines provide a roadmap for best practices in unanticipated settings, emphasizing complete reporting and mitigating biases arising from unforeseen events.

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Frequently Asked Questions About This Podcast

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

Content primarily addresses statistical methodologies and their applications within clinical research. Episodes frequently explore topics such as instrumental variable analysis, factorial trial designs, and non-parametric statistical methods, often featuring discussions that connect statistical theory with practical case studies. A distinct focus is placed on the implications of statistics in enhancing clinical trial efficiency and decision-making processes in medical research. The integration of expert guest insights provides listeners with a thorough understanding of complex concepts, making it particularly valuable for professionals in the medical and academic fields, as well as those interested in the intersection of statistics and heal... more

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2. JAMA Editors' Summary
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this podcast launched 5 years ago and published 40 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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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Professor Edward Norton
2. Dr. Jody Ciolino
3. Professor Maria Brooks
4. Dr. John Lachin
5. Andrew Althouse
6. Professor William Meurer
7. Professor Jerry Rotter
8. Dr. Anna McGlothlin

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