CEA studies often use data from cluster randomised trials (CRTs), where randomisation is at the level of the cluster (for example the hospital) rather than the individual. Here, statistical methods are required that recognise within-cluster costs and health outcomes may be correlated. However, most CEA alongside CRTs use methods that assume observations are independent, which may lead to incorrect inferences.
Our team’s research interests include:
- Developing appropriate methods for CEA that use CRTs and provide guidance on their use.
- Investigating approaches for handling missing values that recognise the hierarchical structure of the data such as random-effects and fixed-effects Multiple Imputation.