2

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 their corresponding aggregated outcomes (eg, quality-adjusted life-years) cannot be evaluated. Restricting the …

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 appraisal, with a view to informing resource allocation decisions. For end of life treatments, such as cancer treatments, …

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 resource use measures) are an important component of the process which informs resource allocation decisions. Almost …

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 and overall survival in men with prostate cancer (PC) starting long-term hormone therapy for first time. Formal …

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 proposed to achieve a variety of objectives: from identifying the key characteristics which lead a team to win or lose …

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 proposed to achieve a variety of objectives: from identifying the key characteristics which lead a team to win or lose …

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 completers in the study, using methods that ignore the complexities of utility and cost data (e.g. skewness and spikes). We …

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 informing resource allocation decisions. A critical problem in these analyses is that both effectiveness and cost data …

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 preference-based health status data for the purpose of healthcare technology assessment. However, because of the …