Causal Inference in Observational Studies and Clinical Trials Affected by Treatment Switching: A Practical Hands-on Workshop
HTADS - Program on Health Technology Assessment &
4-Day Certified Course
27 - 30 March 2017
UMIT - University for Health Sciences, Medical Informatics and Technology
The course is aimed at members of:
- 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
This is an introductory course. A pre-requisite is basic knowledge of biostatistics. Some knowledge of statistical software is helpful. Course language is English. Computer examples will be programmed in STATA.
Introduction to Causal inference
Overview of the problem (causality), causal effects of point actions and time-varying actions, directed acyclic graphs (DAGs), exercises
Overview on different causal methods
Adjustment methods 1: naïve methods, software exercises
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 14:00]
Adjustment methods 4: g-estimation with rank-preserving structural failure time models (RPSFTM), software exercises
Recommendations on appropriate methods
Optional: Course Examination [14:30 - 15:30]
Prof. Dr. Uwe Siebert, 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
Dr. 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
Dr. Ian White, MA, MSc, PhD
Professor of Statistical Methods for Medicine
MRC Clinical Trials Unit at University College London
Felicitas Kühne, MSc
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.
Course fee (public/academic sector): Euro 1250
Early booking fee before 24 February 2017: Euro 980
Course fee (commercial/private sector): Euro 1950
Early booking fee before 24 February 2017: Euro 1580
VAT is not payable.
Course fees include a comprehensive syllabus, an extensive binder with background reading material, course certificate, snacks and lunch, but not accommodation.
Group Registrations – Save 15%
Register with three or more colleagues and save!
Students/Alumni – Save 20%
If you have previously participated in a Continuing Education Program Course on HTADS, you are eligible for a discount on select future programs.
Method of Payment
Payment must be made by bank transfer. After registration, participants will be provided with the payment details via e-mail.
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.
ACCOMMODATIONS & DIRECTIONS
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.
Travelling to Hall and UMIT