Package: CoxAalenCR 0.1.0

CoxAalenCR: Additive-Multiplicative Cox-Aalen Subdistribution Hazard Model for Competing Risks

Implements the flexible additive-multiplicative Cox-Aalen subdistribution hazard regression model for competing risks data as proposed by Li and Long (2019) <doi:10.1007/s11424-019-7281-6>. The framework accommodates both time-varying non-parametric additive covariate effects through an Aalen (1980) additive model and constant multiplicative effects via a Cox proportional hazards structure, generalizing Scheike and Zhang (2002) <doi:10.1111/1467-9469.00065> and Martinussen and Scheike (2002) <doi:10.1093/biomet/89.2.283>. Includes inverse probability of censoring weighting (IPCW) with both Kaplan-Meier weights (Fine and Gray, 1999 <doi:10.1080/01621459.1999.10474144>) and covariate-dependent Cox censoring weights (He et al., 2016 <doi:10.1111/sjos.12172>; Li and Long, 2019 <doi:10.1007/s11424-019-7281-6>). Provides simultaneous estimating equations based on Huffer and McKeague (1991) <doi:10.1080/01621459.1991.10475010>, asymptotic sandwich variance estimation with censoring-weight martingale corrections, cumulative incidence function (CIF) prediction with pointwise confidence intervals, supremum-type goodness-of-fit tests for time-varying covariate effects, and Monte Carlo competing risks data simulation.

Authors:Shikhar Tyagi [aut, cre], Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]