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

UMIT - University for Health Sciences, Medical Informatics and Technology / Institute of Public Health, Medical Decision Making and Health Technology Assessment
Course Content
Introduction to Causal Inference. Overview of the problem (causality), causal effects of point actions and time-varying actions, directed acyclic graphs (DAGs). Overview over Causal study designs, different causal methods and treatment switching adjustment methods.
Target Audience
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
Qualifications
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.
Certifications
Certificates will be provided to all participants after the course
 

Enquiries and Registration:

Univ. Prof. Dr. Uwe Siebert
 
Categories
Evidence-Based Health Care, Public Health, Public Health Research, Statistics
Type of degree
Certificate of attendance, Certificate of completion
Education form
Full Time
Duration
5 Days
Languages
English
Fees
On request
(We offer discounts for group registration (- 15%) and for students and alumnis (- 20%))
Organizer contact info
Eduard-Wallnoefer-Center 1
6060 Hall in Tirol
Austria
Aspher University