Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors

DOI10.1214/20-AOAS1390zbMath1475.62269arXiv1908.06733OpenAlexW2967965553MaRDI QIDQ2233150

Sarah Zohar, Moreno Ursino, Tim Friede, Christian Roever

Publication date: 14 October 2021

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1908.06733

zbMATH Keywords

meta-analysismixed-effect modeldose finding

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

MADF ⋮ Bayesian hierarchical random-effects meta-analysis and design of phase I clinical trials

Uses Software

• BayesDA
• GitHub
• dfcrm

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer
• Covariates and random effects in a Gamma process model with application to degradation and failure
• A weakly informative default prior distribution for logistic and other regression models
• Optimal Bayesian-feasible dose escalation for cancer phase I trials
• The Brownian movement and stochastic equations
• Statistical Methods for Dose‐Finding Experiments
• Determining the Effective Sample Size of a Parametric Prior
• Meta‐analysis of two studies in the presence of heterogeneity with applications in rare diseases
• Combining Multiple Comparisons and Modeling Techniques in Dose‐Response Studies

This page was built for publication: Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors