A random walk approach for quantifying uncertainty in group sequential survival trials

DOI10.1016/j.csda.2008.08.018zbMath1301.62110OpenAlexW1981419726MaRDI QIDQ961157

Daniel L. Gillen

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.08.018

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Flexibly Monitoring Group Sequential Survival Trials When Testing is Based Upon a Weighted Log-Rank Statistic ⋮ Editorial: Computational statistics within clinical research

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Nontransitivity in a class of weighted logrank statistics under nonproportional hazards
• Bayesian Monitoring of Event Rates with Censored Data
• Bayesian Estimators for Conditional Hazard Functions
• Information Growth in a Family of Weighted Logrank Statistics Under Repeated Analyses
• Monte Carlo sampling methods using Markov chains and their applications
• Bayesian survival analysis

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