Methods for estimating complier average causal effects for cost-effectiveness analysis.

ABSTRACT: In randomized controlled trials with treatment non-compliance, instrumental variable approaches are used to estimate complier average causal effects. We extend these approaches to cost-effectiveness analyses, where methods need to recognize the correlation between cost and health outcomes. We propose a Bayesian full likelihood approach, which jointly models the effects of random assignment on treatment received and the outcomes, and a three-stage least squares method, which acknowledges the correlation between the end points and the endogeneity of the treatment received. This investigation is motivated by the REFLUX study, which exemplifies the setting where compliance differs between the randomized controlled trial and routine practice. A simulation is used to compare the methods' perform

SUBMITTER: DiazOrdaz K 

PROVIDER: S-EPMC5763423 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature