Missing data

A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-Based Health Economic Evaluations

Trial-based economic evaluations are typically performed on cross-sectional variables, derived from the responses for only the …

A Gabrio, MJ Daniels, G Baio

A Full Bayesian Model to Handle Structural Ones and Missingness in Economic Evaluations from Individual-Level Data

Economic evaluations from individual level data are an important component of the process of technology appraisal, with a view to …

A Gabrio, AJ Mason, G Baio

A Bayesian Parametric Approach to Handle Nonignorable Missingness in Economic Evaluations

Invited presentation

Jun 1, 2018

A Full Bayesian Model to Handle Structural Ones and Missingness in Health Economic Evaluations from Individual-Level Data

Invited presentation

Feb 5, 2018

An R package to handle missingness in health economic evaluations

missingHE

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations

Cost-effectiveness analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly designed to collect resource use and …

A Gabrio, AJ Mason, G Baio

Missingness Methods in trial-based CEA

With Alexina Mason and Gianluca Baio

Missingness Methods in trial-based CEA

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: a Review with Future Recommendations

Contributed presentation

Sep 8, 2016

Nonignorable Missingness Models in HTA

With Michael Daniels and Gianluca Baio

Nonignorable Missingness Models in HTA