1 citations · 1 across the 11 of their papers we have counts for
12 papers
A Bayesian Longitudinal Model for Imputing Item-Level Missing Data in Trial-Based Economic Evaluations
Xiaoxiao Ling, Andrea Gabrio, Gianluca Baio
Trial-based economic evaluations are widely used to assess the cost-effectiveness of healthcare interventions and inform decision-making. Cost and effectiveness outcomes are typica…
Value-of-Information Analysis for External Validation of Risk Prediction Models in Multicenter Studies and Systematic Reviews
Laure Wynants, Kim Zhipei Wang, Sabine Grimm +5
External validation studies have finite sample sizes, creating uncertainty about whether a prediction model's Net Benefit (NB) exceeds default strategies' NB. The expected value of…
A Bayesian Approach for Nonignorable Dropout in Bivariate Longitudinal Models
Andrea Gabrio, Michael J. Daniels, Gianluca Baio
Longitudinal data collected in clinical trials are almost always incomplete due to some of the participants dropping out from the study during the planned follow-up. A common strat…
A Bayesian modelling framework for health care resource use and costs in trial-based economic evaluations
Andrea Gabrio
Individual-level effectiveness and healthcare resource use (HRU) data are routinely collected in trial-based economic evaluations. While effectiveness is often expressed in terms o…
A review of heath economic evaluation practice in the Netherlands: are we moving forward?
Andrea Gabrio
In 2016, the Dutch National Health Care Institute issued new guidelines that aggregated and updated previous recommendations on key elements for conducting economic evaluation. How…
Linear mixed models to handle missing at random data in trial-based economic evaluations
Andrea Gabrio, Catrin Plumpton, Sube Banerjee +1
Trial-based cost-effectiveness analyses (CEAs) are an important source of evidence in the assessment of health interventions. In these studies, cost and effectiveness outcomes are…
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…
Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: a Review with Future Guidelines
Andrea Gabrio, Alexina Mason, Gianluca Baio
Cost-Effectiveness Analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly often designed to collect resource use and preference-based health status data for…