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.
|Author||Xiangdong Gu and Raji Balasubramanian|
|Maintainer||Xiangdong Gu <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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