5 papers
A Bayesian framework for patient-level partitioned survival cost-utility analysis
Andrea Gabrio
Patient-level health economic data collected alongside clinical trials are an important component of the process of technology appraisal, with a view to informing resource allocati…
Bayesian Hierarchical Models for the Prediction of Volleyball Results
Andrea Gabrio
Statistical modelling of sports data has become more and more popular in the recent years and different types of models have been proposed to achieve a variety of objectives: from…
A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations
Andrea Gabrio, Michael J. Daniels, Gianluca Baio
Trial-based economic evaluations are typically performed on cross-sectional variables, derived from the responses for only the completers in the study, using methods that ignore th…
Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Andrea Gabrio, Rachael Hunter, Alexina J. Mason +1
Health economic evaluations based on patient-level data collected alongside clinical trials~(e.g. health related quality of life and resource use measures) are an important compone…
A Full Bayesian Model to Handle Structural Ones and Missingness in Economic Evaluations from Individual-Level Data
Andrea Gabrio, Alexina J. Mason, Gianluca Baio
Economic evaluations from individual-level data are an important component of the process of technology appraisal, with a view to informing resource allocation decisions. A critica…