Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival.

ABSTRACT: Individualized treatment rules inform tailored treatment decisions based on the patient's information, where the goal is to optimize clinical benefit for the population. When the clinical outcome of interest is survival time, most of current approaches typically aim to maximize the expected time of survival. We propose a new criterion for constructing Individualized treatment rules that optimize the clinical benefit with survival outcomes, termed as the adjusted probability of a longer survival. This objective captures the likelihood of living longer with being on treatment, compared to the alternative, which provides an alternative and often straightforward interpretation to communicate with clinicians and patients. We view it as an alternative to the survival analysis standard of the haz

SUBMITTER: He Q 

PROVIDER: S-EPMC11671293 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature