JAMAevidence JAMA Guide to Statistics and Methods JAMA Network
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- Health & Fitness
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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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.
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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.
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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.
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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.
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Immortal Time Bias in Observational Studies -
Adjustment for Baseline Characteristics in Randomized Clinical Trials
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.
Related Content:
Adjustment for Baseline Characteristics in Randomized Clinical Trials -
Odds Ratios—Current Best Practice and Use With Dr Norton
JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Odds Ratios—Current Best Practice and Use with Edward C. Norton, PhD.
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Odds Ratios—Current Best Practice and Use Types and Distribution of Payments From Industry to Physicians in 2015