JAMAevidence JAMA Guide to Statistics and Methods
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.
Episodes
Pattern-Mixture Models for Missing Data With Dr Little
Roderick Little, PhD, University of Michigan School of Public Health Departments of Epidemiology & Biostatistics discusses Pattern-Mixture Models for Missing Data with Roger J. Lewis, MD, PhD, statistical editor for JAMA. Related Content: Pattern-Mixture Models for Missing Data
Interpretation of Clinical Trials That Stopped Early With Dr Viele
Kert Viele, PhD, director and senior statistical scientist at Berry Consultants, discusses "Interpretation of Clinical Trials That Stopped Early" with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Interpretation of Clinical Trials That Stopped Early
Test-Negative Study Designs for Evaluating Vaccine Effectiveness With Dr Dean
Natalie Exner Dean, PhD, Associate Professor, Rollins School of Public Health, Emory University, discusses Test-Negative Study Designs for Evaluating Vaccine Effectiveness with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Test-Negative Study Designs for Evaluating Vaccine Effectiveness
Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments With Dr Webb
Steve A. Webb, MBBS, MPH, PhD, professor, Royal Perth Hospital, The University of Western Australia discusses Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Platform Clinical Trials for the Efficient Evaluation of Multiple Treatments How to Use and Interpret the Results of a Platform Trial
Tipping Point Analysis: Assessing the Potential Impact of Missing Data With Dr Sims
Kendra D. Sims, PhD, postdoctoral associate in Epidemiology, Boston University, discusses Tipping Point Analysis: Assessing the Potential Impact of Missing Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Tipping Point Analysis
Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton
Edward C. Norton, PhD, University of Michigan Health Management and Policy, discusses Instrumental Variables and Heterogeneous Treatment Effects with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Instrumental Variables and Heterogeneous Treatment Effects
Factorial Clinical Trial Designs With Dr Ciolino
Jody D. Ciolino, PhD, Northwestern University, Feinberg School of Medicine discusses Factorial Clinical Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD Related Content: Factorial Clinical Trial Designs Reporting of Factorial Randomized Trials
JAMA Guide to Statistics and Methods: Assessing Unexpected Circumstances That Lead to Modifications in Clinical Trial Design, Conduct, or Analysis With Professor Brooks
Maria Mori Brooks, PhD, University of Pittsburgh School of Public Health, discusses "Assessing Unexpected Circumstances That Lead to Modifications in Clinical Trial Design, Conduct, or Analysis" in the JAMA Guide to Statistics and Methods series, with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Assessing Unexpected Circumstances That Lead to Modifications in Clinical Trial
JAMA Guide to Statistics and Methods: Collider Bias With Dr Andersen
Lars W. Andersen, MD, MPH, PhD, DMSc, Aarhus University, discusses collider bias in the JAMA Guide to Statistics and Methods series with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Collider Bias
Nonparametric Statistical Analysis With Dr Lachin
John M. Lachin, ScD, Biostatistics Center, George Washington University, discusses Nonparametric Statistical Analysis with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Nonparametric Statistical Analysis
The Use of Historical Controls in Clinical Trials, With Dr Althouse
Andrew D. Althouse, PhD, University of Pittsburgh School of Medicine discusses The Use of Historical Controls in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: The Use of Historical Controls in Clinical Trials
Futility in Clinical Trials With Dr Wendelberger
Barbara Wendelberger, PhD, Berry Consultants, discusses Futility in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Futility in Clinical Trials
Interim Analyses During Group Sequential Trials With Dr Meurer
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. Related Content: Interim Analyses During Group Sequential Clinical Trials
Genome-Wide Association Studies With Dr Rotter
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 Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Genome-Wide Association Studies
Conditional Power: How Likely Is Trial Success?
Benjamin R. Saville, PhD, president and lead statistical scientist of Adaptix Trials, LLC and adjoint associate professor of biostatistics at Vanderbilt University Medical Center, discusses Conditional Power: How Likely Is Trial Success? with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Conditional Power
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. Related Content: 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. Related Content: 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
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
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: Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses of Clinical Trials
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: Time-to-Event Analysis
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: Adjusting for Nonadherence or Stopping Treatments in Randomized Clinical Trials
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: Worst-Rank Score Methods—A Nonparametric Approach to Informatively Missing Data
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:
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: Use of Run-in Periods in Randomized Trials With Dr Armitage Short- and Long-term Effects of a Mobile Phone App in Conjunction With Brief In-Person Counseling on Physical Activity Among Physically Inactive Women: The mPED Randomized Clinical Trial
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: Regression Discontinuity Design Using Instrumental Variables to Address Bias From Unobserved Confounders
Case-Control Studies: Using "Real-world" Evidence to Assess Association, With Dr Irony
JAMA Statistical Editor Roger Lewis, MD, discusses Case-Control Studies: Using "Real-world" Evidence to Assess Association, With Dr Irony.
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: Equipoise in Research—Integrating Ethics and Science in Human Research
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: Bayesian Analysis: Using Prior Information to Interpret the Results of Clinical Trials Effect of Therapeutic Hypothermia Initiated After 6 Hours of Age on Death or Disability Among Newborns With Hypoxic-Ischemic Encephalopathy: A R
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 recommend when limited resources are available. Gillian Sanders-Schmidler, PhD, professor of population health sciences and medicine at Duke Univers
Multiple Comparison Procedures from the JAMA Guide to Statistics and Methods
JAMA Deputy Editor Edward Livingston, MD, discusses "Multiple Comparison Procedures" with Dr. Jing Cao, PhD
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 they wrote entitled "Logistic Regression Diagnostics: Understanding How Well a Model Predicts Outcomes." Related Article: Logistic Regression
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): Randomization in Clinical Trials
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 where every cluster in the study ultimately undergoes the intervention. How this works it is explained by Susan Ellenberg, PhD, from the Department
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
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 University in Dallas, Texas.
Pragmatic Trials: Practical Answers to "Real-world" Questions With Harold C. Sox, MD
JAMA Deputy Editor Edward Livingston, MD, discusses Pragmatic Trials: Practical Answers to "Real-world" Questions with Harold C. Sox, MD, of PCORI
Cluster Randomized Trials: Evaluating Treatments Applied to Groups With William J. Meurer, MD
JAMA Deputy Editor Edward Livingston, MD, discusses "Cluster Randomized Trials: Evaluating Treatments Applied to Groups" with William J. Meurer, MD, MS
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
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 specialized language and explain statistics and methods to a broad physician readership. The book's editors and authors, Edward Livingston, MD, and Rog
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