Use of Run-in Periods in Randomized Trials With Dr Armitage

Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Dr Amy Kaji: Ed Livingston, MD, FACS, AGAF, discusses Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Amy Kaji, MD, PhD by JAMAevidence JAMA Guide to Statistics and Methods

11 min listen

JAMA Guide to Statistics and Methods: Clinical researchers and biostatisticians use highly specialized language to help them discuss statistics and research methods efficiently. In 2019 JAMA published the JAMA Guide to Statistics and Methods, a book of short reviews that translate that... by JAMAevidence JAMA Guide to Statistics and Methods

14 min listen

Sample Size Calculation for a Hypothesis Test With Dr Lynne Stokes: One 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... by JAMAevidence JAMA Guide to Statistics and Methods

12 min listen

Pragmatic Trials: Practical Answers to “Real-world” Questions With Harold C. Sox, MD: JAMA Deputy Editor Edward Livingston, MD, discusses with Harold C. Sox, MD, of PCORI by JAMAevidence JAMA Guide to Statistics and Methods

21 min listen

Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials: Roger J. Lewis, MD, PhD, discusses Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials with Melanie Quintana, PhD Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

28 min listen

Logistic Regression—What It Is and How to Use It in Clinical Research: Logistic regression is one of the most commonly used statistical analytic tools in the medical literature. William Meurer, MD, from the University of Michigan, and Juliana Tolles, MD, from UCLA, discuss a JAMA Guide to Statistics and Methods article... by JAMAevidence JAMA Guide to Statistics and Methods

33 min listen

Multiple Comparison Procedures from the JAMA Guide to Statistics and Methods: JAMA Deputy Editor Edward Livingston, MD, discusses "" with Dr. Jing Cao, PhD by JAMAevidence JAMA Guide to Statistics and Methods

23 min listen

Minimal Clinically Important Difference: Defining What Really Matters to Patients: JAMA Deputy Editor Edward Livingston, MD, discusses Minimal Clinically Important Difference: Defining What Really Matters to Patients with Anna E. McGlothlin, PhD by JAMAevidence JAMA Guide to Statistics and Methods

12 min listen

Randomization in Clinical Trials from the JAMA Guide to Statistics and Methods: Roger J. Lewis, MD, PhD, discusses Randomization in Clinical Trials from the JAMA Guide to Statistics and Methods Related Article(s): by JAMAevidence JAMA Guide to Statistics and Methods

23 min listen

Cluster Randomized Trials: Evaluating Treatments Applied to Groups With William J. Meurer, MD: JAMA Deputy Editor Edward Livingston, MD, discusses with William J. Meurer, MD, MS by JAMAevidence JAMA Guide to Statistics and Methods

24 min listen

The Stepped-Wedge Clinical Trial: Evaluation by Rolling Deployment: Cluster randomized trials are performed when an intervention must be delivered to a group of patients like when testing new nursing protocols on award or different means for cleaning beds on a ward. One type of cluster trials is called a stepped-wedge... by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

Case-Control Studies: Using “Real-world” Evidence to Assess Association, With Dr Irony: JAMA Statistical Editor Roger Lewis, MD, discusses . by JAMAevidence JAMA Guide to Statistics and Methods

23 min listen

Cost-effectiveness Analysis for Clinicians: Cost-effectiveness analysis defines trade-offs between costs, harms, and benefits of alternative treatments and combines them into a single metric, the incremental cost-effectiveness ratio (ICER), that can inform decisions about which interventions to... by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

Equipoise in Research—Integrating Ethics and Science in Human Research: Roger J. Lewis, MD, PhD, discusses Equipoise in Research—Integrating Ethics and Science in Human Research with Alex John London, PhD Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

22 min listen

Adjusting for Nonadherence or Stopping Treatments With Drs Adler and Latimer: JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Adjusting for Nonadherence or Stopping Treatments with Amanda I. Adler, MD, PhD, and Nicholas Latimer, PhD. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

Use of Run-in Periods in Randomized Trials With Dr Armitage: JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Use of Run-in Periods in Randomized Trials with Jane M. Armitage, MBBS. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

19 min listen

Regression Discontinuity Study Design to Estimate Observational Differences With Dr Maciejewski: JAMA Statistical Editor Roger Lewis, MD, discusses Regression Discontinuity Design with Matthew L. Maciejewski, PhD. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

12 min listen

Time-to-Event Analysis With Dr Tolles: JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Time-to-Event Analysis with Juliana Tolles, MD, MHS. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

11 min listen

Using Latent Class Analysis to Identify Hidden Clinical Phenotypes With Dr Heather G. Allore: JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Using Latent Class Analysis to Identify Hidden Clinical Phenotypes with Heather G. Allore, PhD. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data With Dr Lachin: JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data with John M. Lachin, ScD. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

17 min listen

Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses With Dr Smith: Roger J. Lewis, MD, PhD, discusses Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses with Valerie A. Smith, DrPH. Related Content: by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

18 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

22 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

15 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

23 min listen

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: by JAMAevidence JAMA Guide to Statistics and Methods

22 min listen

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. ... by JAMAevidence JAMA Guide to Statistics and Methods

27 min listen

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Use of Run-in Periods in Randomized Trials With Dr Armitage

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