A Bayesian dose-finding design for drug combination trials with delayed toxicities

DOI10.1214/13-BA839zbMath1329.62431WikidataQ39125629 ScholiaQ39125629MaRDI QIDQ908029

Suyu Liu, Jing Ning

Publication date: 2 February 2016

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1378729925

zbMATH Keywords

missing dataadaptive designmaximum tolerated dosephase I trialcombining drugslate-onset toxicity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Bayesian inference (62F15) Robustness and adaptive procedures (parametric inference) (62F35) Sampling theory, sample surveys (62D05) Medical applications (general) (92C50) Sequential statistical design (62L05)

Related Items (4)

Application of gamma process to two-agent combinations with delayed toxicity ⋮ Adaptive designs for drug combination informed by longitudinal model for the response ⋮ Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studies ⋮ A Bayesian adaptive design for addressing correlated late-onset outcomes in phase I/II randomized trials of drug combinations in oncology

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