no code implementations • 20 Jan 2024 • Shenbo Xu, Raluca Cobzaru, Bang Zheng, Stan N. Finkelstein, Roy E. Welsch, Kenney Ng, Ioanna Tzoulaki, Zach Shahn
In this work, we develop censoring unbiased transformations (CUTs) for survival outcomes both with and without competing risks. After converting time-to-event outcomes using these CUTs, direct application of HTE learners for continuous outcomes yields consistent estimates of heterogeneous cumulative incidence effects, total effects, and separable direct effects.
