| SurvRegCensCov-package {SurvRegCensCov} | R Documentation |
Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariates
Description
The function SurvRegCens of this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval-censored covariate, and an arbitrary number of non-censored covariates. Additional functions allow to switch between different parametrizations of Weibull regression used by different R functions (ConvertWeibull, WeibullReg, WeibullDiag), inference for the mean difference of two arbitrarily censored Normal samples (NormalMeanDiffCens), and estimation of canonical parameters from censored samples for several distributional assumptions (ParamSampleCens).
Details
| Package: | SurvRegCensCov |
| Type: | Package |
| Version: | 1.7 |
| Date: | 2023-09-27 |
| License: | GPL (>=2) |
Author(s)
Stanislas Hubeaux (maintainer), stan.hubeaux@bluewin.ch
Kaspar Rufibach, kaspar.rufibach@gmail.com
http://www.kasparrufibach.ch
We thank Sarah Haile for contributing the functions ConvertWeibull, WeibullReg, WeibullDiag to the package.
References
Hubeaux, S. (2013). Estimation from left- and/or interval-censored samples. Technical report, Biostatistics Oncology, F. Hoffmann-La Roche Ltd.
Hubeaux, S. (2013). Parametric Surival Regression Model with left- and/or interval-censored covariate. Technical report, Biostatistics Oncology, F. Hoffmann-La Roche Ltd.
Hubeaux, S. and Rufibach, K. (2014). SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with a Censored Covariate. Preprint, https://arxiv.org/abs/1402.0432.
Lynn, H. S. (2001). Maximum likelihood inference for left-censored HIV RNA data. Stat. Med., 20, 33–45.
Sattar, A., Sinha, S. K. and Morris, N. J. (2012). A Parametric Survival Model When a Covariate is Subject to Left-Censoring. Biometrics & Biostatistics, S3(2).
Examples
# The main functions in this package are illustrated in their respective help files.