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SemiCompRisks (version 1.0)

SemiCompRisks-package: Algorithms for fitting parametric and semi-parametric models to semi-competing risks data / univariate survival data.

Description

The package provides following Bayesian frameworks to analyze semi-competing risks/univariate survival data: 1) Bayesian semi-parametric model for analysis of semi-competing risks data, 2) Bayesian parametric model for analysis of semi-competing risks data, 3) Bayesian semi-parametric model for analysis of univariate right censored survival data, 4) Bayesian parametric model for analysis of univariate right censored survival data

Arguments

Details

The package includes following functions: ll{ BayesID The function to fit Bayesian illness-death models to semi-competing risks data BayesSurv The function to fit Bayesian parametric and semi-parametric regression models to 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: 1.0 Date: 2013-12-21 License: GPL (>= 2) LazyLoad: yes }

References

Lee, K. H., Haneuse, S., Schrag, D., and Dominici, F. (2013). Bayesian Semi-parametric Analysis of Semi-competing Risks Data: Estimating Readmission Rates among Pancreatic Cancer Patients, submitted.