Year: 2016
Type: preprint
Abstract: In this manuscript we demonstrate the analysis of right-censored survival outcomes using the MRH package in R. The MRH package implements the multi-resolution hazard (MRH) model, which is a Polya-tree based, Bayesian semi-parametric method for flexible estimation of the hazard rate and covariate effects. The package allows for covariates to be included under the proportional and non-proportional hazards assumption, and for robust estimation of the hazard rate in periods of sparsely observed failures via a "pruning" tool.
Source: arXiv (Cornell University)
Authors: Hagar, Yolanda, Dukic, Vanja
Institution: University of Colorado Boulder
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
Awards: CNH: Cooking Up Clean Air: Scaled-Up Air Quality and Health Impacts of Clean Cookstoves in Ghana, Scaling up epizootic dynamics - Linking individual infection to spatial spread of a disease using Bayesian hierarchical approaches, MRI-Consortium: Acquisition of a Supercomputer by the Front Range Computing Consortium
OpenAlex ID: W2289376619