18. – 21.03.19 | HTADS-Certificate Course

18. – 21.03.19 | HTADS-Certificate Course

We are pleased to announce our 4-Day Certificate Course:

“Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: A Practical Hands-on Workshop”

18-21 March 2019 to be held in Hall in Tirol, Austria.

Course Directors

  • Uwe Siebert, MD, MPH, MSc, ScD Professor of Public Health, UMIT
  • Nicholas Latimer, BSc, MSc, PhD Senior Research Fellow in Health Economics, Health Economics and Decision Science, University of Sheffield, UK
  • Ian White, MA, MSc, PhD Professor of Statistical Methods for Medicine MRC Clinical Trials Unit at University College London

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
  • Use of causal diagrams (directed acyclic graphs, DAGs) in observational studies and clinical trials
  • 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
  • Use of causal methods (g-formula, inverse probability weighting with marginal structural models, g-estimation with structural nested models)
  • The target trial concept
  • Applying publicly available software to case examples
  • Programming analyses in STATA using inverse probability weighting (IPW) with marginal structural models (MSM) and g-estimation with rank-preserving structural failure time models (RPSFTM)
  • How to identify the appropriate adjustment method
  • Recommendations and guidelines on adjustment methods

Early Booking Deadline until 31 January 2019

››› Download Workshop Details as PDF

››› Online booking for this course

gepostet von DGSMP