Programme

Tuesday 11 June 2019

10:00 - 10:30 h	Preliminary - Introduction to (Bayesian) modelling in HTA Standard (two-stage) analysis of HTA data vs Bayesian (one-stage, full propagation of uncertainty) modelling The role of Probabilistic Sensitivity Analysis
10:30 - 11:00 h	Introduction to missing data What's difficult about it? What's so special about it in HTA? Mechanisms for missingness (Rubin's categorisation) Graphical representation of mechanisms
11:00 - 12:00 h	Missing data in HTA State of the art (literature review) Correlation between outcomes
12:00 - 13:30 h	Lunch
13:30 - 14:30 h	Examples Problems with HTA data (asymmetry, non-normality, correlation and “structural” values) Example 1. MenSS trial (small pilot study) Example 2. PBS trial (larger study, with longitudinal aspects)
14:30 - 16:30 h	Practicals R and JAGS Basic models Potential extensions

*The working language will be English.