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: 1.3.1
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp
Suggests: testthat
Published: 2016-01-03
Author: Xiangdong Gu and Raji Balasubramanian
Maintainer: Xiangdong Gu <ustcgxd at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: icensmis results


Reference manual: icensmis.pdf
Package source: icensmis_1.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: icensmis_1.3.1.tgz, r-oldrel: icensmis_1.3.1.tgz
Old sources: icensmis archive

Reverse dependencies:

Reverse imports: icRSF


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