$\tau$ -Inflated Beta Regression Model for Estimating $\tau$ -Restricted Means and Event-Free Probabilities for Censored Time-to-Event Data.

ABSTRACT: In this research, we propose analysis of τ$\tau$ -restricted censored time-to-event data via a τ$\tau$ -inflated beta regression ( τ$\tau$ -IBR) model. The outcome of interest is min(τ,T)${\rm min}(\tau,T)$ , where T$T$ and τ$\tau$ are the time-to-event and follow-up duration, respectively. Our analysis goals include estimation and inference related to τ$\tau$ -restricted mean survival time ( τ$\tau$ -RMST) values and event-free probabilities at τ$\tau$ that address the censored nature of the data. In this setting, it is common to observe many individuals with min(τ,T)=τ${\rm min}(\tau,T)=\tau$ , a point mass that is typically overlooked in τ$\tau$ -restricted event-time analyses. Our proposed τ$\tau$ -IBR model is based on a decomposition of min(τ,T)${\rm min}(\tau,T)$ into τ[I(T≥τ)+(T/τ)

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11604032 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature