Bayesian prediction for flowgraph models with covariates. An application to bladder carcinoma
type: Item
instance of: scholarly article
title: Bayesian prediction for flowgraph models with covariates. An application to bladder carcinoma
zbMATH Open document ID: 1329.62130
published in: Journal of Computational and Applied Mathematics
publication date: 2015-08-24T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 92B15
Mathematics Subject Classification ID: 62N02
zbMATH DE Number: 6475001
zbMATH Keywords: flowgraph model
zbMATH Keywords: Erlang distribution
zbMATH Keywords: phase-type distribution
zbMATH Keywords: Bayesian approach
zbMATH Keywords: bladder carcinoma
author: Belén García-Mora
author: Cristina Santamaría
author: Gregorio Rubio
author: José Luis Pontones
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: j.cam.2015.03.045
OpenAlex ID: W1468525394
cites work: Stochastic Network Models for Survival Analysis
cites work: Flowgraph Models for Multistate Time‐to‐Event Data
cites work: A First Course in Bayesian Statistical Methods
cites work: Q3923308
cites work: A shock and wear system with memory of the phase of failure
cites work: The Fourier-series method for inverting transforms of probability distributions
DOI: 10.1016/J.CAM.2015.03.045
description: scientific article; zbMATH DE number 6475001