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Biostatistics Seminar Series

Subgroup Analysis with Time To Event Outcomes - Peter Mueller, University of Texas at Austin

Thursday 10/10 3:30PM - 4:30PM
Public Health Lecture Hall (A115)

Subgroup analysis with time to event outcomes 

We discuss a utility-based Bayesian approach to population finding and
subgroup analysis. The approach casts the population finding process
as a formal decision problem together with a flexible probability
model using a flexible model, such as random forests or other
nonparametric Bayesian models, to fit the data.  In contrast, the
decision is constrained to be parsimonious and interpretable. We
define a utility function that addresses the competing aims of the
desired report.  We illustrate the approach with a joint time-to-event
and toxicity outcome for subgroup analysis, and with a time-to-event
outcome in the context of an umbrella trial master protocol.

Xu, Mueller, Tsimberidou, Berry
A Nonparametric Bayesian Basket Trial Design
Biometrical Journal

Morita, and Mueller, P. (2017).
Bayesian Population Finding with Biomarkers in a RCT,
Biometrics, 73, 1355--1365. 

Last Updated On Monday, August 26, 2019 by Tang, Lu
Created On Monday, August 12, 2019

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