Modeling the population mean outcome trajectory in an observational study with a guideline-based intervention

Date: 
October 27, 2021
Time: 
3:00 - 4:00pm
Place: 
Zoom - Registry Link Below

A repeatedly measured outcome for subjects in an observational study allows researchers to monitor how the outcome changes over time. When an intervention that affects the outcome is initiated at different time following a guideline, it is essential to account for the varying time to intervention (TTI) in modeling changes in the outcome over time and sample selection bias due to the guideline-based intervention. In this talk, I introduce a TTI-varying coefficient model that describes the population mean outcome trajectory and a double-weighted estimation procedure that corrects estimation bias of the TTI-varying coefficients.

 

 

Speaker: Hyunkeun Ryan Cho, PhD, Associate Professor of Biostatistics, University of Iowa

 

Register: http://tiny.cc/EpiBioEmailList

Event Type: 
Biostatistics and Bioinformatics Seminar