{ "_id": "6a229c62cd65a98ecbd57ba9", "Type": "Package", "Package": "CoxAIPW", "Title": "Doubly Robust Inference for Cox Marginal Structural Model with\nInformative Censoring", "Version": "0.0.3", "Authors@R": "c(\nperson(\"Jiyu\", \"Luo\", email = \"charlesluo1002@gmail.com\", role = c(\"cre\",\"aut\")),\nperson(\"Dennis\", \"Rava\", email = \"drava@ucsd.edu\", role = \"aut\"),\nperson(\"Ronghui\", \"Xu\", email = \"rxu@health.ucsd.edu\", role = \"aut\"))", "Description": "Doubly robust estimation and inference of log hazard ratio\nunder the Cox marginal structural model with informative\ncensoring. An augmented inverse probability weighted estimator\nthat involves 3 working models, one for conditional failure\ntime T, one for conditional censoring time C and one for\npropensity score. Both models for T and C can depend on both a\nbinary treatment A and additional baseline covariates Z, while\nthe propensity score model only depends on Z. With the help of\ncross-fitting techniques, achieves the rate-doubly robust\nproperty that allows the use of most machine learning or\nnon-parametric methods for all 3 working models, which are not\npermitted in classic inverse probability weighting or doubly\nrobust estimators. When the proportional hazard assumption is\nviolated, CoxAIPW estimates a causal estimated that is a\nweighted average of the time-varying log hazard ratio.\nReference: Luo, J. (2023). Statistical Robustness - Distributed\nLinear Regression, Informative Censoring, Causal Inference, and\nNon-Proportional Hazards [Unpublished doctoral dissertation].\nUniversity of California San Diego.; Luo & Xu (2022)\n; Rava (2021)\n.", "License": "GPL-3", "URL": "https://github.com/charlesluo1002/CoxAIPW", "BugReports": "https://github.com/charlesluo1002/CoxAIPW/issues", "Encoding": "UTF-8", "Language": "en-US", "RoxygenNote": "7.2.3", "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libuv1-dev\nlibxml2-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": { "Date": "2026-06-05 09:48:16 UTC", "User": "root" }, "Author": "Jiyu Luo [cre, aut],\nDennis Rava [aut],\nRonghui Xu [aut]", "Maintainer": "Jiyu Luo ", "MD5sum": 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