This course offers an in depth description of ‘cutting edge’ methods for addressing treatment selection bias in economic evaluation, developed as part of an ESRC grant. These methods include regression, propensity score matching, an approach that extends propensity score matching (Genetic Matching) and ‘combination’ methods such as regression-adjusted matching. In addition, the course will include approaches for handling aspects of unobserved confounding including difference-in differences estimation, and the synthetic control method. The course places a strong emphasis on applying the methods in practice, with practical sessions using STATA and R.
The next course will run in 2017 (more details to follow soon).
Details of the last course organised at ISPOR European Congress here.
Please contact Prof Richard Grieve (firstname.lastname@example.org) for more information.