Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration
通过纵向生物标志物曲线配准分析未知起点的事件时间
In observational studies, the time origin of interest for time-to-event analysis is often unknown, such as the time of disease onset. Existing approaches to estimating the time origins are commonly built on extrapolating a parametric longitudinal model, which rely on rigid assumptions that can lead to biased inferences. In this paper, we introduce a flexible semiparametric curve registration model. It assumes the longitudinal trajectories follow a flexible common shape…