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Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials

JAMAevidence JAMA Guide to Statistics and Methods

Release Date: 09/02/2021

Interim Analyses During Group Sequential Trials With Dr Meurer show art Interim Analyses During Group Sequential Trials With Dr Meurer

JAMAevidence JAMA Guide to Statistics and Methods

William J. Meurer, MD, MS, University of Michigan Medical School, discusses Interim Analyses During Group Sequential Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

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Genome-Wide Association Studies With Dr Rotter show art Genome-Wide Association Studies With Dr Rotter

JAMAevidence JAMA Guide to Statistics and Methods

Jerome I. Rotter, MD, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Department of Pediatrics, Harbor-UCLA Medical Center, discusses Genome-Wide Association Studies with JAMA...

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Conditional Power: How Likely Is Trial Success? show art Conditional Power: How Likely Is Trial Success?

JAMAevidence JAMA Guide to Statistics and Methods

Benjamin R. Saville, PhD, Department of Biostatistics, Vanderbilt University Medical Center, discusses Conditional Power: How Likely Is Trial Success? with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

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Bayesian Hierarchical Models With Dr McGlothlin show art Bayesian Hierarchical Models With Dr McGlothlin

JAMAevidence JAMA Guide to Statistics and Methods

Anna E. McGlothlin, PhD, Berry Consultants, LLC, discusses Bayesian Hierarchical Models with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

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Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell show art Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell

JAMAevidence JAMA Guide to Statistics and Methods

Kelley Kidwell, PhD, professor of biostatistics, University of Michigan, discusses Sequential, Multiple Assignment, Randomized Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

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Target Trial Emulation for Causal Inference From Observational Data With Dr Hernán show art Target Trial Emulation for Causal Inference From Observational Data With Dr Hernán

JAMAevidence JAMA Guide to Statistics and Methods

Miguel A. Hernán, MD, DrPH, professor of epidemiology, Harvard T.H. Chan School of Public Health, discusses Target Trial Emulation: A Framework for Causal Inference From Observational Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD.

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On Deep Learning for Medical Image Analysis With Dr Carin show art On Deep Learning for Medical Image Analysis With Dr Carin

JAMAevidence JAMA Guide to Statistics and Methods

JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses On Deep Learning for Medical Image Analysis with Lawrence Carin, PhD.

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Patient-Reported Outcome Measures in Clinical Research With Drs Weinfurt and Reeve show art Patient-Reported Outcome Measures in Clinical Research With Drs Weinfurt and Reeve

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.

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Immortal Time Bias in Observational Studies With Dr Kabir Yadav show art Immortal Time Bias in Observational Studies With Dr Kabir Yadav

JAMAevidence JAMA Guide to Statistics and Methods

JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Immortal Time Bias in Observational Studies with Kabir Yadav, MDCM, MS, MSHS.

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Adjustment for Baseline Characteristics in Randomized Clinical Trials show art Adjustment for Baseline Characteristics in Randomized Clinical Trials

JAMAevidence JAMA Guide to Statistics and Methods

JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Adjustment for Baseline Characteristics in Randomized Clinical Trial with Lars W. Andersen, MD, MPH, PhD, DMSc.

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