Public Health, Versorgungsforschung und HTA

HomeDepartments Public Health, Versorgungsforschung und Health Technology Assessment HTADS Continuing Education Program Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop - ONLINE

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

5-Day Certified University Course

18 - 22 March 2024


Course Flyer:
Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials



The course runs over 5 days and combines lectures on theoretical concepts, discussions, case study exercises, interactive group work and hands-on computer sessions. Practical applications using real world case examples address health interventions from different health technologies and different disease areas. On day 3, participants have an extended break during the afternoon to review course materials, use office hours for questions or consulting for their own research work, catch up on emails, or energize themselves while relaxing. They reconvene on Thursday morning for the next session.
The course will be an online synchronous course (Austrian time zone) scheduled from 9am to 5pm. The course will not be recorded.

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


  • 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
  • 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
  • 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

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.




Course fee (public/academic sector): Euro 1.980
Early booking fee until 05 February 2024: Euro 1.480

Course fee (commercial/private sector): Euro 3.850
Early booking fee until 05 February 2024: 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.


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.

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.