Publications

Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Objectives: In trial-based economic evaluation, some individuals are typically associated with missing data at some time point, so that …
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A Bayesian framework for patient-level partitioned survival cost-utility analysis
Patient-level health economic data collected alongside clinical trials are an important component of the process of technology …
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Joint longitudinal models for dealing with missing at random data in trial-based economic evaluations
Health economic evaluations based on patient-level data collected alongside clinical trials (e.g. health related quality of life and …
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Addition of abiraterone to first-line long-term hormone therapy in prostate cancer (STAMPEDE): Model to estimate long-term survival, quality-adjusted survival, and cost-effectiveness
Results from randomised trials show adding abiraterone acetate plus prednisolone (AAP) to standard of care (SOC) improves disease-free …
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Bayesian Hierarchical Models for the Prediction of Volleyball Results
Statistical modelling of sports data has become more and more popular in the recent years and different types of models have been …
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Bayesian Hierarchical Models for the Prediction of Volleyball Results
Statistical modelling of sports data has become more and more popular in the recent years and different types of models have been …
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Bayesian Statistical Economic Evaluation Methods for Health Technology Assessment
The evidence produced by healthcare economic evaluation studies is a key component of any health technology assessment (HTA) process …
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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 …
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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 …
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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 …
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