JAMAevidence JAMA Guide to Statistics and Methods: Recent Episodes
JAMA Network
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.
Michelle A. Detry, PhD, Berry Consultants LLC, discusses The Intention-to-Treat Principle: How to Assess the True Effect of Choosing a Medical Treatment with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content:
- The Intention-to-Treat Principle
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
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
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
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
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
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
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
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 Design, Conduct, or Analysis
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
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
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
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
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
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
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. Related Content:
- Conditional Power
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
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
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
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
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
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
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
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
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
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
JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Time-to-Event Analysis with Juliana Tolles, MD, MHS. Related Content:
- Time-to-Event Analysis
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
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
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
JAMA Statistical Editor Roger Lewis, MD, PhD, discusses Using Latent Class Analysis to Identify Hidden Clinical Phenotypes with Heather G. Allore, PhD.
Related Content:
Using Latent Class Analysis to Identify Hidden Clinical Phenotypes With Dr Heather G. Allore
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
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
JAMA Statistical Editor Roger Lewis, MD, discusses Case-Control Studies: Using “Real-world” Evidence to Assess Association, With Dr Irony.
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
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 Randomized Clinical Trial
- Incorporating Adult Evidence Into Pediatric Research and Practice: Bayesian Designs to Expedite Obtaining Child-Specific Evidence
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 University, explains the method in terms clinicians can understand.
Related Article:
- Cost-effectiveness Analysis for Clinicians
JAMA Deputy Editor Edward Livingston, MD, discusses "Multiple Comparison Procedures" with Dr. Jing Cao, PhD
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
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
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 of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania School of Medicine.
Related Article:
The Stepped-Wedge Clinical Trial
JAMA Deputy Editor Edward Livingston, MD, discusses Minimal Clinically Important Difference: Defining What Really Matters to Patients with Anna E. McGlothlin, PhD
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.
JAMA Deputy Editor Edward Livingston, MD, discusses Pragmatic Trials: Practical Answers to “Real-world” Questions with Harold C. Sox, MD, of PCORI
JAMA Deputy Editor Edward Livingston, MD, discusses "Cluster Randomized Trials: Evaluating Treatments Applied to Groups" with William J. Meurer, MD, MS
Ed Livingston, MD, FACS, AGAF, discusses Noninferiority Trials: Is a New Treatment Almost as Effective as Another? with Amy Kaji, MD, PhD
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 Roger J. Lewis, MD, PhD, discuss their approach to choosing statistical topics and their objectives in compiling the reviews into book format.
Purchase the JAMA Guide to Statistics and Methods at:
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