Surrogates, meta-analysis and cost-effectiveness modelling: a combined analytic approach.


Hawkins, N; Richardson, G; Sutton, AJ; Cooper, NJ; Griffiths, C; Rogers, A; Bower, P; (2011) Surrogates, meta-analysis and cost-effectiveness modelling: a combined analytic approach. Health economics, 756. pp. 742-756. ISSN 1057-9230 DOI: https://doi.org/10.1002/hec.1741

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Abstract

Estimates of cost-effectiveness analyses are typically obtained either directly from ‘trial’ based analyses or indirectly via surrogate endpoints in ‘model’ based analyses. Data from clinical trials that include both surrogate and final endpoints can be used in a joint analysis that combines these two approaches. This joint approach allows the inclusion of information regarding the effects of treatment on surrogate endpoints while relaxing the strong assumption of ‘conditional independence’ associated with indirect model-based analyses. An example cost-effectiveness analysis of Chronic Disease Self Management Programme is used to compare the different approaches. It is shown that despite using acommondata set, the different analytic approaches produce differing estimates of the cost-effectiveness of the intervention and the value of future research. The paper concludes by discussing the selection of the appropriate analytic approach

Item Type: Article
Keywords: bayesian, chronic disease self, economic evaluation, management programme, randomised controlled trial, surrogate outcome, Chronic Disease, therapy, Clinical Trials as Topic, methods, statistics & numerical data, Cost-Benefit Analysis, Data Interpretation, Statistical, Endpoint Determination, Humans, Meta-Analysis as Topic, Models, Economic, Quality-Adjusted Life Years, Self Care, statistics & numerical data
Faculty and Department: Faculty of Public Health and Policy > Dept of Health Services Research and Policy
Research Centre: Centre for Statistical Methodology
PubMed ID: 21796723
Web of Science ID: 303048000008
URI: http://researchonline.lshtm.ac.uk/id/eprint/2534852

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