Evidence-based Analysis of Longitudinal Data

Presentation Title: Evidence-based Analysis of Longitudinal Data
Brief Description: Prospective randomized longitudinal studies are the foundation for rigorous generation of medical evidence. Increasing focus on patient-reported outcomes and serial measures of health status imply that quantitative outcomes are common primary outcomes in contemporary trials. Frequently the study design and protocol specify the collection of outcomes both at baseline and select follow-up times, with a primary analysis that often considers one key follow-up time. The goal of this talk is to review the statistical evidence that informs the selection of a primary longitudinal analysis strategy.
About the Speaker:
Patrick J. Heagerty, PhD, MS
Professor, Department of Biostatistics
Director, Center for Biomedical Statistics
University of Washington
Presentations in this series highlight methodological work being conducted by researchers across nine of the NIAMS-funded P30 Core Centers for Clinical Research (CCCRs), with application to rheumatic and musculoskeletal conditions.