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Causal Inference

Objective: Questions of causality are fundamental inspirations behind innovations in philosophy, business, and science, including biomedicine. Answering causal questions leads to better predictive and prescriptive modeling. It is also the key to the correct identification of unknown effects as well as the latent factors that influence outcomes, and to produce hypotheses, validation, and proof.

We are seeking to rethink the existing frameworks of causal inference in health sciences by introducing ideas from other scientific disciplines and inventing new concepts and analytical methods.

  • Please add your name in the following if you are interested to join.
  • If you have an ongoing project in causal inference in observational biomedical/ health data, please add the project name/link and a two line description to the projects section
  • If you have an idea on causal inference that you want to test it or even develop it, join and you will find collaborators here

Project Lead:

Abbas Shojaee MD,CHDA

Participants:

Menelaos Konstantinidis

Yalda Aryan

Alireza Aani

Ongoing Projects

Causal Inference Using Composition of Transactions

Repository:

TBD

News Link

TBD

Literature Repository

TBD

projects/workgroups/causal_inference.1574374837.txt.gz · Last modified: 2019/11/21 22:20 by abbas