Activity Number:
|
361
- SPEED: Biometrics - Methods and Application, Part 2
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, July 30, 2019 : 11:35 AM to 12:20 PM
|
Sponsor:
|
Biometrics Section
|
Abstract #307768
|
|
Title:
|
Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time
|
Author(s):
|
Sanhita Sengupta*
|
Companies:
|
University of Minnesota
|
Keywords:
|
Optimal treatment regime;
Personalized medicine;
Random survival forest;
Restriced mean survival;
Right censored
|
Abstract:
|
In a right-censored setting for a single stage decision, we look at treatment regimes which maximize restricted mean survival time. We propose an individualized treatment regime using the non-parametric approach of survival random forest. We derive a consistent estimator of the mean restricted survival time and also establish the convergence rate. We then proceed to do a few simulations and data analysis to verify the performance of our proposed method.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2019 program
|