JAMAevidence JAMA Guide to Statistics and Methods

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JAMAevidence JAMA Guide to Statistics and Methods Podcast

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.

  1. Genome-Wide Association Studies With Dr Rotter

    5 SEPT

    Genome-Wide Association Studies With Dr Rotter

    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 Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Genome-Wide Association Studies

    23 min
  2. Conditional Power: How Likely Is Trial Success?

    1 AUG

    Conditional Power: How Likely Is Trial Success?

    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. Related Content: Conditional Power

    16 min
  3. Bayesian Hierarchical Models With Dr McGlothlin

    3 JUL

    Bayesian Hierarchical Models With Dr McGlothlin

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

    15 min
  4. Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell

    6 JUN

    Sequential, Multiple Assignment, Randomized Trial Designs With Dr Kidwell

    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. Related Content: Sequential, Multiple Assignment, Randomized Trial Designs

    13 min
  5. Target Trial Emulation for Causal Inference From Observational Data With Dr Hernán

    2 MAY

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

    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. Related Content: Target Trial Emulation

    27 min
  6. On Deep Learning for Medical Image Analysis With Dr Carin

    4 APR

    On Deep Learning for Medical Image Analysis With Dr Carin

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

    23 min
  7. Patient-Reported Outcome Measures in Clinical Research With Drs Weinfurt and Reeve

    7 MAR

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

    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. Related Content: Patient-Reported Outcome Measures in Clinical Research

    22 min
  8. Immortal Time Bias in Observational Studies With Dr Kabir Yadav

    4 JAN

    Immortal Time Bias in Observational Studies With Dr Kabir Yadav

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

    15 min
See All (32)

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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.

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