icensmis: Study Design and Data Analysis in the Presence of Error-Prone Diagnostic Tests and Self-Reported Outcomes
Version 1.3.1

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.

Getting started

Package details

AuthorXiangdong Gu and Raji Balasubramanian
Date of publication2016-01-03 17:44:50
MaintainerXiangdong Gu <ustcgxd@gmail.com>
LicenseGPL (>= 2)
Version1.3.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("icensmis")

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icensmis documentation built on May 29, 2017, 10:11 p.m.