| p3state.msm-package {p3state.msm} | R Documentation |
Analyzing survival data from an illness-death model
Description
p3state.msm provides functions for estimating semi-parametric regression models but also to implement nonparametric estimators for the transition probabilities. The methods can also be used in progressive three-state models. In progressive three-state models, estimators for other quantities such as the bivariate distribution function (for the sequentially ordered events) are also given.
Details
| Package: | p3state.msm |
| Type: | Package |
| Version: | 1.3.2 |
| Date: | 2023-01-19 |
| License: | GPL-3 |
| LazyLoad: | yes |
| LazyData: | yes |
Author(s)
Luis Meira-Machado, Javier Roca Pardinas roca@uvigo.es
and Artur Araújo artur.stat@gmail.com
Maintainer: Luis Meira-Machado lmachado@math.uminho.pt
References
Crowley J., Hu M. (1977). Covariance analysis of heart transplant survival data. Journal of the American Statistical Association, 72(357), 27-36. doi:10.2307/2286902
Meira-Machado L., De Una-Alvarez J., Cadarso-Suarez C. (2006). Nonparametric estimation of transition probabilities in a non-Markov illness-death model. Lifetime Data Analysis, 12(3), 325-344. doi:10.1007/s10985-006-9009-x
de Una-Alvarez J., Meira-Machado L. (2008). A simple estimator of the bivariate distribution function for censored gap times. Statistics & Probability Letters, 78(15), 2440-2445. doi:10.1016/j.spl.2008.02.031
Meira-Machado L., Roca-Pardinas J. (2011). p3state.msm: Analyzing Survival Data from an Illness-Death Model. Journal of Statistical Software, 38(3), 1-18. doi:10.18637/jss.v038.i03