Causal Inference Using Observational Data: A Review of Modern Methods

Date 01/07/2021 - 30/11/2021
Type Machine Learning

Partner: armasuisse
Partner contact: Albert Blarer
EPFL laboratory: Chair of Biostatistics
EPFL contact: Prof. Mats J. Stensrud

In this report we consider several real-life scenarios that may provoke causal research questions. As we introduce concepts in causal inference, we reference these case studies and other examples to clarify ideas and provide examples of how researchers are approaching topics using clear causal thinking.