{ "_id": "6ada6670dd3792e77323889c", "Package": "twoPhaseSens", "Title": "Sensitivity Analysis for Covariates Observed in Two-Phase\nSamples", "Version": "0.1.0", "Authors@R": "c(person(\"Rophence\", \"Ojiambo\", email = \"rophence.ojiambo@nyu.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-6798-9066\")), person(\"Jemar\", \"Bather\", email = \"jemar.bather@nyu.edu\", role = \"aut\", comment = c(ORCID = \"0000-0002-0285-3678\")))", "Description": "Provides a structured method-comparison\nsensitivity-analysis workflow for linear regression when\nimportant continuous adjustment covariates are observed only in\na Phase-2 subsample. Implements naive analysis, complete-case\nanalysis, fully conditional specification multiple imputation,\njoint-model multiple imputation, inverse probability weighting,\nand augmented inverse probability weighting, with standardized\ntables, diagnostics, and publication-style forest plots.\nMethodological background is provided by Little and Rubin\n(2019) for general missing-data\nmethods, White and Carlin (2010) for\ncomplete-case analysis with missing covariates, White, Royston\nand Wood (2011) and van Buuren and\nGroothuis-Oudshoorn (2011) for\nchained-equations multiple imputation, Quartagno, Grund and\nCarpenter (2019) for joint-model\nmultiple imputation, Robins, Rotnitzky and Zhao (1994)\n for inverse-probability\nweighting with missing regressors, and Bang and Robins (2005)\n for doubly robust\nestimation.", "License": "MIT + file LICENSE", "URL": "https://rophenceojiambo.github.io/twoPhaseSens/,\nhttps://github.com/rophenceojiambo/twoPhaseSens", "BugReports": 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