30 episodes
JAMAevidence JAMA Guide to Statistics and Methods JAMA Network
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- Health & Fitness
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4.5 • 15 Ratings
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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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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.
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Bayesian Hierarchical Models -
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.
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Sequential, Multiple Assignment, Randomized Trial Designs -
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 -
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 -
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 -
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