# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "twoPhaseSens" in publications use:' type: software license: MIT title: 'twoPhaseSens: Sensitivity Analysis for Covariates Observed in Two-Phase Samples' version: 0.1.0 abstract: Provides a structured method-comparison sensitivity-analysis workflow for linear regression when important continuous adjustment covariates are observed only in a Phase-2 subsample. Implements naive analysis, complete-case analysis, fully conditional specification multiple imputation, joint-model multiple imputation, inverse probability weighting, and augmented inverse probability weighting, with standardized tables, diagnostics, and publication-style forest plots. Methodological background is provided by Little and Rubin (2019) for general missing-data methods, White and Carlin (2010) for complete-case analysis with missing covariates, White, Royston and Wood (2011) and van Buuren and Groothuis-Oudshoorn (2011) for chained-equations multiple imputation, Quartagno, Grund and Carpenter (2019) for joint-model multiple imputation, Robins, Rotnitzky and Zhao (1994) for inverse-probability weighting with missing regressors, and Bang and Robins (2005) for doubly robust estimation. authors: - family-names: Ojiambo given-names: Rophence email: rophence.ojiambo@nyu.edu orcid: https://orcid.org/0000-0002-6798-9066 - family-names: Bather given-names: Jemar email: jemar.bather@nyu.edu orcid: https://orcid.org/0000-0002-0285-3678 repository: https://cran.r-universe.dev repository-code: https://github.com/rophenceojiambo/twoPhaseSens commit: ac3f393049a5e871e58b7ccab59657c7c54a34f9 url: https://rophenceojiambo.github.io/twoPhaseSens/ date-released: '2026-10-22' contact: - family-names: Ojiambo given-names: Rophence email: rophence.ojiambo@nyu.edu orcid: https://orcid.org/0000-0002-6798-9066