icensmis (1.3.1)

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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.

Maintainer: Xiangdong Gu
Author(s): Xiangdong Gu and Raji Balasubramanian

License: GPL (>= 2)

Uses: Rcpp, testthat

Released over 3 years ago.

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