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  "Title": "Doubly Robust Estimation under Covariate-Induced Dependent Left\nTruncation",
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  "Authors@R": "c(\nperson(\"Yuyao\", \"Wang\", email = \"yuw079@ucsd.edu\", role = c(\"cre\",\"aut\")),\nperson(\"Andrew\", \"Ying\", email = \"aying9339@gmail.com\", role = \"aut\"),\nperson(\"Ronghui\", \"Xu\", email = \"rxu@health.ucsd.edu\", role = \"aut\"))",
  "Author": "Yuyao Wang [cre, aut], Andrew Ying [aut], Ronghui Xu [aut]",
  "Maintainer": "Yuyao Wang <yuw079@ucsd.edu>",
  "Description": "Doubly robust estimation for the mean of an arbitrarily\ntransformed survival time under covariate-induced dependent\nleft truncation and noninformative right censoring. The\nfunctions truncAIPW(), truncAIPW_cen1(), and truncAIPW_cen2()\ncompute the doubly robust estimators under the scenario without\ncensoring and the two censoring scenarios, respectively. The\npackage also contains three simulated data sets 'simu',\n'simu_c1', and 'simu_c2', which are used to illustrate the\nusage of the functions in this package. Reference: Wang, Y.,\nYing, A., Xu, R. (2022) \"Doubly robust estimation under\ncovariate-induced dependent left truncation\"\n<arXiv:2208.06836>.",
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      "title": "Estimate the Conditional CDF of the Event Time given Covariates",
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      "title": "Estimate the Conditional CDF for the Left Truncation Time given Covariates",
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      "page": "truncAIPW",
      "title": "Doubly Robust Estimation under Covariate-induced Dependent Left Truncation and No Censoring",
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