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Course: Methods for addressing selection bias in health economic evaluation London School of Hygiene & Tropical Medicine 5 - 6 July 2012 £675 (commercial sector), £350 (public sector) Payable by: 28 June 2012 A short course taught in London by health economists and statisticians working in the Faculty of Public Health and Policy, and part of the LSHTM Centre for Statistical Methodology. Overview Health economic evaluations often make use of observational data. A major concern is that cost-effectiveness results may be subject to selection bias. While sophisticated methods for addressing selection bias are routinely used in other literatures, their use in economic evaluation is limited. This course offers an in depth description of methods for addressing treatment selection bias. These methods include regression, propensity score matching and a novel approach that extends propensity score matching, Genetic Matching. The course will highlight underlying assumptions and the pros and cons of each method. There is a strong emphasis on applying the methods in practice, with practical sessions illustrating how to implement each technique using readily available software (STATA and R). The course is aimed at health economists, or statisticians with an interest in health economic evaluation. It is envisaged that participants will be interested in undertaking or interpreting cost-effectiveness analyses that use observational data. Prerequisites This is an advanced course focusing on statistical methods for economic evaluation. Participants would be expected to have some familiarity with STATA, and relevant statistical concepts such as OLS regression. Course Objectives By the end of the course participants will be able to: - critique the use of observational data in economic evaluation - estimate regression models for addressing selection bias in economic evaluation - estimate propensity score models, and use them for matching - use a computationally intensive matching method, Genetic Matching, that matches on individual confounders - assess the plausibility of the major assumptions behind each method - implement matching methods in both STATA and R. Course tutors Richard Grieve, Rosalba Radice, Zia Sadique, Roland Ramsahai, Noemi Kreif, Susan Gruber How to apply Please complete the online application form at http://www.lshtm.ac.uk/study/cpd/smasbhe.html . Please email [log in to unmask] if you have any questions. Tamsin Milewicz, Student Recruitment Administrator London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT Telephone: +44 (0) 20 7299 4649 Email: [log in to unmask] Come and meet us. Click here for events in your area ( http://www.lshtm.ac.uk/prospectus/eventsdiary.html ) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.