A subgroup cluster‐based Bayesian adaptive design for precision medicine

DOI10.1111/biom.12613zbMath1372.62066OpenAlexW2538875385WikidataQ38806654 ScholiaQ38806654MaRDI QIDQ5283291

Yuan Ji, Wentian Guo, Daniel V. T. Catenacci

Publication date: 21 July 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5923898

zbMATH Keywords

Bayesian nonparametricsDirichlet processadaptive designreversible jump MCMCenrichment designspersonalized therapy

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Uses Software

• BayesTree
• BartPy

Cites Work

• BART: Bayesian additive regression trees
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• A Bayesian analysis of some nonparametric problems
• Effectively Selecting a Target Population for a Future Comparative Study
• Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model
• Unnamed Item

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