Work

Estimating Treatment Effects and Identifying Optimal Treatment Regimes to Prolong Patient Survival [electronic resource].

Year: 2014

Type: article

Abstract: proposed estimators, and its finite sample performance through simulation and real data analysis. In the third project, we consider a more general class of candidate regimes through flexible models of the outcomes. We propose to use Random Survival Forest plus an inverse probability weighted bootstrap to estimate the causal outcome while marginalizing over the unavailable covariates. By comparing the restricted mean survival times, the optimal regime can be estimated for the target population. The performance of the proposed method is assessed through simulation studies.

Source: University of Michigan Library Repository

Author: Shen, Jincheng.

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7056535032

FWCI:

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