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.


icensmis

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Reference manual

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install.packages("icensmis")

1.3.1 by Xiangdong Gu, 3 years ago


Browse source code at https://github.com/cran/icensmis


Authors: Xiangdong Gu and Raji Balasubramanian


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp

Suggests testthat

Linking to Rcpp


Imported by icRSF.


See at CRAN