Type: Package Package: CoxAIPW Title: Doubly Robust Inference for Cox Marginal Structural Model with Informative Censoring Version: 0.0.3 Authors@R: c( person("Jiyu", "Luo", email = "charlesluo1002@gmail.com", role = c("cre","aut")), person("Dennis", "Rava", email = "drava@ucsd.edu", role = "aut"), person("Ronghui", "Xu", email = "rxu@health.ucsd.edu", role = "aut")) Description: Doubly robust estimation and inference of log hazard ratio under the Cox marginal structural model with informative censoring. An augmented inverse probability weighted estimator that involves 3 working models, one for conditional failure time T, one for conditional censoring time C and one for propensity score. Both models for T and C can depend on both a binary treatment A and additional baseline covariates Z, while the propensity score model only depends on Z. With the help of cross-fitting techniques, achieves the rate-doubly robust property that allows the use of most machine learning or non-parametric methods for all 3 working models, which are not permitted in classic inverse probability weighting or doubly robust estimators. When the proportional hazard assumption is violated, CoxAIPW estimates a causal estimated that is a weighted average of the time-varying log hazard ratio. Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear Regression, Informative Censoring, Causal Inference, and Non-Proportional Hazards [Unpublished doctoral dissertation]. University of California San Diego.; Luo & Xu (2022) ; Rava (2021) . License: GPL-3 URL: https://github.com/charlesluo1002/CoxAIPW BugReports: https://github.com/charlesluo1002/CoxAIPW/issues Imports: survival, randomForestSRC, polspline, tidyr, ranger, pracma, gbm Encoding: UTF-8 Language: en-US RoxygenNote: 7.2.3 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev libx11-dev Repository: https://charlesluo1002.r-universe.dev Date/Publication: 2023-09-12 23:22:44 UTC RemoteUrl: https://github.com/charlesluo1002/coxaipw RemoteRef: HEAD RemoteSha: 0197ed45648fb337d79a8695d0bb182b53b26b37 NeedsCompilation: no Packaged: 2026-09-18 08:31:00 UTC; root Author: Jiyu Luo [cre, aut], Dennis Rava [aut], Ronghui Xu [aut] Maintainer: Jiyu Luo