SemiCompRisks-package: Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.
Description
The package provides a Bayesian framework to perform the analysis of semi-competing risks or univariate survival data. The framework is flexible in the sense that:
1) it can handle cluster-correlated or independent data;
2) the option to choose between parametric (Weibull) and semi-parametric (mixture of piecewise exponential) prior specification for baseline hazard function(s) is available;
3) for clustered data, the option to choose between parametric (multivariate Normal for semicompeting risks data, Normal for univariate survival data) and semi-parametric (Dirichlet process mixture) prior specification for random effects distribution is available;
4) for semi-competing risks data, the option to choose between Makov and semi-Makov model is available.Details
The package includes following functions:
ll{
BayesID Bayesian analysis of independent semi-competing risks data
BayesIDcor Bayesian analysis of cluster-correlated semi-competing risks data
BayesSurv Bayesian analysis of independent univariate survival data
BayesSurvcor Bayesian analysis of cluster-correlated univariate survival data
ehr The function to calculate the conditional explanatory hazard ratio (EHR)
simID The function to simulate semi-competing risks data under Weibull model
simSurv The function to simulate right censored survival data under Weibull model
}
ll{
Package: SemiCompRisks
Type: Package
Version: 2.0
Date: 2015-1-21
License: GPL (>= 2)
LazyLoad: yes
}References
Lee, K. H., Haneuse, S., Schrag, D., and Dominici, F. (2014),
Bayesian semiparametric analysis of semicompeting risks data:
investigating hospital readmission after a pancreatic cancer diagnosis, Journal of the Royal Statistical Society: Series C, in press.
Lee, K. H., Dominici, F., Schrag, D., and Haneuse, S.,
Hierarchical models for cluster-correlated semicompeting risks data with application to quality of end-of-life care for pancreatic cancer, arXiv:1502.00526; submitted.