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20162026
most citedLinear mixed models to handle missing at random data in trial-based economic evaluations

1 citations · 1 across the 9 of their papers we have counts for

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stat.AP2026

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…

stat.AP2020

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…

stat.AP2019

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…

stat.AP2018

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…

stat.AP2018

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…

stat.AP2016

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…