icensmis: Study Design and Data Analysis in the presence of error-prone diagnostic tests and self-reported outcomes

We consider studies in which information from error-prone diagnostic tests or self-reports are gathered sequentially to determine the occurrence of a silent event. Using a likelihood-based approach incorporating the proportional hazards assumption, we provide functions to estimate the survival distribution and covariate effects. We also provide functions for power and sample size calculations for this setting.

Version: 1.2.1
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Published: 2014-06-27
Author: Xiangdong Gu and Raji Balasubramanian
Maintainer: Xiangdong Gu <xdgu at schoolph.umass.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: icensmis results

Downloads:

Reference manual: icensmis.pdf
Package source: icensmis_1.2.1.tar.gz
Windows binaries: r-devel: icensmis_1.2.1.zip, r-release: icensmis_1.2.1.zip, r-oldrel: icensmis_1.2.1.zip
OS X Snow Leopard binaries: r-release: icensmis_1.2.1.tgz, r-oldrel: icensmis_1.2.1.tgz
OS X Mavericks binaries: r-release: icensmis_1.2.1.tgz
Old sources: icensmis archive