A random walk approach for quantifying uncertainty in group sequential survival trials
type: Item
instance of: scholarly article
title: A random walk approach for quantifying uncertainty in group sequential survival trials
zbMATH Open document ID: 1301.62110
author: Daniel L. Gillen
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5687784
MaRDI profile type: Publication
full work available at URL: j.csda.2008.08.018
OpenAlex ID: W1981419726
cites work: Q3837295
cites work: Q3225023
cites work: Q3999494
cites work: Bayesian Monitoring of Event Rates with Censored Data
cites work: Information Growth in a Family of Weighted Logrank Statistics Under Repeated Analyses
cites work: Nontransitivity in a class of weighted logrank statistics under nonproportional hazards
cites work: Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
cites work: Monte Carlo sampling methods using Markov chains and their applications
cites work: Bayesian survival analysis
cites work: Q4264744
cites work: Bayesian Estimators for Conditional Hazard Functions
DOI: 10.1016/J.CSDA.2008.08.018
description: scientific article; zbMATH DE number 5687784