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Artwork for JAMAevidence JAMA Guide to Statistics and Methods

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
Bayesian Hierarchical Modeling
Target Trial Emulation
Immortal Time Bias
AI In Medicine
JAMA Network
Treatment Effects
Sequential Multiple Assignment Randomized Trials
Biostatistics
Randomized Clinical Trials
Dermatology

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.

PublishesMonthlyEpisodes45Founded6 years ago
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Artwork for JAMAevidence JAMA Guide to Statistics and Methods

Latest Episodes

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

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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

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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

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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

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Recent Guests

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
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

Host

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

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Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Q: What can you tell us about the Healy ALS Platform Trial and its significance?
The Healy ALS Platform Trial showed how a shared control across several ALS interventions enables many treatments to be tested cheaply and quickly, with most participants receiving active treatment and only a smaller portion in control, illustrating the practical benefits of platform designs.
Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Q: What is a non-concurrent control and why does it matter?
A non-concurrent control is a control group that is used for comparisons with a later intervention added to the platform, which creates design and analysis challenges but can still offer efficiency if handled properly with appropriate statistical methods.
Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Q: What are the main statistical efficiencies in platform trials?
Statistically, using a common control across multiple interventions enhances efficiency, especially with adaptive features that allow conclusions to be drawn when sufficient evidence exists, often avoiding fixed sample sizes.
Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Q: What are the operational efficiencies of platform trials?
Operationally, platform trials reuse the same sites, master protocol, governance, and data systems, enabling faster startup and reduced duplication of infrastructure across multiple questions, which lowers overall time and cost for generating evidence.
Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Q: Can you start by describing what a platform clinical trial is and how it differs from traditional trials?
A platform trial addresses multiple questions simultaneously or sequentially within a single protocol, using a reusable infrastructure that can add or drop interventions over time, unlike traditional trials which typically answer a single question and are more static.

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Frequently Asked Questions About This Podcast

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

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