Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies | Haneuse | Journal of Statistical Software
Authors: Sebastien Haneuse, Takumi Saegusa, Thomas Lumley
Title: osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies
Abstract: The two-phase design has recently received attention in the statistical literature as an extension to the traditional case-control study for settings where a predictor of interest is rare or subject to missclassification. Despite a thorough methodological treatment and the potential for substantial efficiency gains, the two-phase design has not been widely adopted. This may be due, in part, to a lack of general-purpose, readily-available software. The osDesign package for R provides a suite of functions for analyzing data from a two-phase and/or case-control design, as well as evaluating operating characteristics, including bias, efficiency and power. The evaluation is simulation-based, permitting flexible application of the package to a broad range of scientific settings. Using lung cancer mortality data from Ohio, the package is illustrated with a detailed case-study in which two statistical goals are considered: (i) the evaluation of small-sample operating characteristics for two-phase and case-control designs and (ii) the planning and design of a future two-phase study.

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Paper: osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies     Download PDF (Downloads: 3639)
Supplements:
osDesign_1.5.tar.gz: R source package Download (Downloads: 601; 890KB)
v43i11.R: R example code from the paper Download (Downloads: 574; 12KB)

DOI: 10.18637/jss.v043.i11

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.