Public Health, Versorgungsforschung und HTA

Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop

5-Day Certified University Course
25 - 29 January 2021



The course is aimed at members of:
  • Healthcare & health policy organizations, national HTA agencies
  • Regulatory agencies (EMA, FDA, etc.)
  • Pharmaceutical & medical device industry
  • Academia and research institutions
  • Health insurances/sickness funds
  • Consultancy organizations
Course Language is English
Course Pre-requisites:

This is an introductory course. A pre-requisite is basic knowledge of biostatistics and familiarity with the software package Stata and R or the willingness to learn. Course language is English. Computer examples will be programmed in Stata and R.


[Registration 8:00-9:00]

Introduction to Causal Inference
Overview of the problem (causality), causal effects of point actions and time-varying actions, directed acyclic graphs (DAGs), exercises

Optional: Stata Tutorial [17:45 - 18:15]


Overview on causal study designs, different causal methods


Overview on treatment switching adjustment methods 1: naïve methods, software exercises


Overview on treatment switching adjustment methods 2: Inverse probability (of censoring) weighting (IPW) with marginal structural models (MSM), software exercises

Adjustment methods 3: Two-stage adjustment, software exercises

[End of course 15:00]

Overview on treatment switching adjustment methods 4: g-estimation with rank-preserving structural failure time models (RPSFTM), software exercises
Recommendations on appropriate methods
Optional: Course Examination [16:00 - 17:00]



Uwe Siebert, MD, MPH, MSc, ScD
Professor of Public Health (UMIT), Adjunct Professor of Health Policy and Management (Harvard University)
Chair, Dept. of Public Health, Health Services Research and HTA,
UMIT - University for Health Sciences, Medical Informatics & Technology, Austria

Nicholas Latimer, BSc, MSc, PhD
Senior Research Fellow in Health Economics,
Health Economics and Decision Science,
School of Health and Related Research, University of Sheffield, Sheffield, UK

Ian White, MA, MSc, PhD
Professor of Statistical Methods for Medicine
MRC Clinical Trials Unit at University College London

Course Coordinator:
Felicitas Kühne, MSc
Senior Scientist, Dept. of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics & Technology, Austria

Course Co-Coordinator:
Dr. phil. Marjan Arvandi, MStat
Senior Scientist, Dept. of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics & Technology, Austria

In addition, Teaching Assistants will be available for software programming exercises



Certificates will be provided to all participants after the course. For those who are interested in a graded course performance record, we are offering a course examination subsequent to the Causal Inference Workshop. The exam is designed to evaluate the understanding of the basic concepts in causal inference and is administered on the last day of the course. The exam is a closed-book test mainly consisting of multiple-choice answers, short calculations or open text questions, which are drawn from the major topic areas of the course. Further information regarding the examination and enrollment will be provided after registration.


Registration fees

Course fee (public/academic sector): Euro 1,980
Early booking fee until 24 December 2020: Euro 1,480

Course fee (commercial/private sector): Euro 3,850
Early booking fee until 24 December 2020: Euro 2,850

VAT is not payable.

Course fees include a comprehensive digital syllabus with background reading material, course notes, and Stata tutorials. Further a course certificate will be provided and 4 ECTS credits can be earned by passing the exam at the end of the course.


Group Registrations – Save 15%
Register with three or more colleagues in this course and save!

Alumni – Save 20%
UMIT TIROL Alumni or if you have previously participated in a Continuing Education Program Course on HTADS, you are eligible for a discount on this course.

Method of Payment

Payment must be made by bank transfer. After registration, participants will be provided with the payment details via e-mail.

Cancellation Policy

A full refund of course fees (less 15% administrative charges) will be made for cancellations received in writing at least one month prior to the workshop. Substitutes can be made but please email new delegates details when known. Cancellations made less than one month prior to the course are non-refundable/non-changeable.

In the unlikely event that, due to unforeseen circumstances or insufficient enrollment, the course has to be cancelled by the UMIT, our liability is limited to refund of course fees only. We recommend that delegates have adequate insurance cover to claim any travel or personal expenses.



There are a number of hotels near the campus. Reservations should be made when you receive your registration and payment confirmation. We have made special arrangements with hotels near the course location. After registration, you will receive more details regarding accommodation via e-mail.

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