Email this article 
Hide
Show all
| 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. | ||||
|
Page views:: 3473. Submitted: 2010-05-10. Published: 2011-08-24. |
|||||
| Paper: |
osDesign: An R Package for the Analysis, Evaluation, and Design of Two-Phase and Case-Control Studies
Download PDF
(Downloads: 3639)
|
||||
| Supplements: |
| ||||
| DOI: |
10.18637/jss.v043.i11
|
This work is licensed under the licenses 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. |