Incorporating individual historical controls and aggregate treatment effect estimates into a Bayesian survival trial: a simulation study

Incorporating individual historical controls and aggregate treatment effect estimates into a Bayesian survival trial: a simulation study

Abstract Background Performing well-powered randomised controlled trials (RCTs) of new treatments for rare diseases is often infeasible. However, with the increasing availability of historical data, incorporating existing information into trials with small sample sizes is appealing in order to incre...

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Bibliographic Details
Main Authors: Caroline Brard, Lisa V. Hampson, Nathalie Gaspar, Marie-Cécile Le Deley, Gwénaël Le Teuff
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Medical Research Methodology
Subjects:
Aggregate treatment effect
Bayesian randomised survival trial
Individual control data
Mixture prior
Power prior
Rare disease
Online Access:http://link.springer.com/article/10.1186/s12874-019-0714-z

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http://link.springer.com/article/10.1186/s12874-019-0714-z

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