HEDS is part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We undertake research, teaching, training and consultancy on all aspects of health related decision science, with a particular emphasis on health economics, HTA and evidence synthesis.

Wednesday, 30 March 2016

Causal Inference in Observational Studies and Trials Affected by Treatment Switching....

Take some time out to attend a 4-day workshop in beautiful Tyrol, Austria.  

Image: Austria / Tyrol by Karsten H.68

The Course Faculty is:
  • Uwe Siebert, MD, MPH, MSc, ScD Professor of Public Health, UMIT, Hall i. T., Austria
  • Nicholas Latimer, BSc, MSc, PhD Senior Research Fellow, University of Sheffield, UK
  • Ian White, MA, MSc, PhD Program Leader, MRC Biostatistics Unit, Cambridge, UK
This 4-day Course is on 3-6 May 2016 and will be held in Tyrol, Austria.

The workshop combines lectures, discussions, exercises, and hands-on computer lab sessions in the key elements and methods of Causal Inference and covers the following subjects:
  • Concepts and methods of causality, counterfactuals and causal inference
  • Framing and interpreting causal research questions
  • The use of causal diagrams (directed acyclic graphs, DAGs)
  • The paradigmatic shift from traditional statistical analysis to causal analysis and   the difference between naive methods and causal methods
  • Adjustment for fixed and time-varying confounding and treatment switching/adherence
  • The use of causal methods (g-formula, inverse probability weighting with marginal structural models, g-estimation with structural nested models)
  • Applying publicly available software to case examples
  • Programming analyses in STATA using inverse probability weighting (IPW) for marginal structural models (MSM) and g-estimation for rank-preserving structural failure time models (RPSFTM)
  • How to identify the appropriate adjustment method
  • Recommendations and guidelines on adjustment methods
Online booking for this course is available here.