Using Data Science Methodsto Answer Big Health Questions

摘要

Causal Inference is a set ofnew approaches to address theage-old problem of induction.The problem of induction is theproblem of how to justifiablyinfer causal relationships fromobservations. For example, willHIV-related mortality differ underplan A, compared to plan B?A key aspect of modern causalinference is the use of potential, orcounterfactual, outcomes, as wellas observed factual outcomes.