JAMAevidence JAMA Guide to Statistics and Methods

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

In this engaging discussion, Lars W. Andersen, a professor at Aarhus University Hospital renowned for his work in acute care, delves into the intricate world of collider bias with statistical editor Roger J. Lewis. They clarify its critical importance in ensuring accurate treatment effect estimates in research. Lars illustrates collider bias using examples from diet and cognitive assessments and discusses its implications in COVID-19 medication studies. He emphasizes the need for rigorous study designs and thoughtful population selection to mitigate this pervasive 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, an expert in translational genomics, joins JAMA Statistical Editor Roger J. Lewis to dive into Genome-Wide Association Studies (GWAS). They explore the differences between Mendelian and complex diseases, discussing how single base mutations lead to conditions like sickle cell anemia. The conversation covers polygenic diseases, highlighting the genetic variants behind ailments such as type 2 diabetes. They also tackle advancements in GWAS and the significance of SNPs, emphasizing the importance of diverse ethnic inclusion for reliable findings.

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

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