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:
Mr. Univ. Prof. Dr. Uwe Siebert
CategoriesEvidence-Based Health Care, Public Health, Public Health Research, Statistics