Jun Zhang of the Department of Biostatistics defends her dissertation on "Interpretable Analysis of Multivariate Functional Data".
The Joint Statistical Meetings, known simply as "JSM", is the largest gathering of statisticians held annually in North American. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations. Our students often receive top awards and participate in the affiliated career marketplace at the event.
Meetings of the Eastern North American Region of the International Biometric Society (a.k.a. "ENAR meetings") are held in late March or early April each year and reflect the broad interests of the Society, including both quantitative techniques and application areas. Faculty and student presenters from the Department of Biostatistics regularly participate giving invited talks, contributed talks, and poster presentations.
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
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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