27本のエピソード
JAMAevidence JAMA Guide to Statistics and Methods JAMA Network
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- 健康／フィットネス
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5.0 • 1件の評価
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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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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 -
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.
Related Content:
Odds Ratios—Current Best Practice and Use Types and Distribution of Payments From Industry to Physicians in 2015 -
Estimands, Estimators, and Estimates With Dr Little
Roger J. Lewis, MD, PhD, discusses Estimands, Estimators, and Estimates with Roderick J. Little, PhD, in the JAMA Guide to Statistics and Methods series.
Related Content:
Estimands, Estimators, and Estimates