This is a two-day foundations course designed for those wishing to develop an introductory understanding of the fundamental statistical concepts used in economic evaluation for Health Technology Assessment (HTA). The course includes a mixture of taught modules and practical exercises, where participants will learn the relevant statistical concepts and their estimation using the statistical software package Stata®. Although Stata® will be used as a vehicle to demonstrate a variety of statistical concepts in HTA, no prior knowledge of Stata® is required to be able to complete these practical exercises.
This is a three-day advanced course focused on the use of statistical methods for the analysis for of individual patient-level cost, effects (e.g. survival and health-related quality of life) and other type of data used in cost-effectiveness analysis for HTA. It is intended for people who wish to learn how to apply (and interpret the results of) more advanced techniques for the analysis of data collected alongside both experimental (e.g. RCTs) and observational (sometimes referred to as “real-world”) studies, where the objective is to estimate within-study quantities (e.g. differential mean costs) or to derive key input parameters to populate economic evaluation models for HTA. The course includes a mixture of taught modules and practical exercises.