Sample Size Calculation for a Hypothesis Test With Dr Lynne Stokes
JAMAevidence JAMA Guide to Statistics and Methods
Release Date: 07/02/2020
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
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?
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
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
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
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
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
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
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
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.
info_outlineOne of the most common causes for problems we see in manuscripts at JAMA is an inappropriately calculated study sample size. This seemingly mysterious process is explained by Lynne Stokes, PhD, professor of Statistical Science at Southern Methodist University in Dallas, Texas.