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.

Project Lead:

Abbas Shojaee MD,CHDA

Participants:

[If interested, please add your name here]

Menelaos Konstantinidis

Yalda Aryan

Alireza Aani

Ongoing Projects

Causal Inference Using Composition of Transactions

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Literature Repository

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