How to use Model Estimated Controls

Potential outcomes MEC use to make CI statements

Survival outcomes

In the case that the outcome is a time-to-event outcome, the observational data cohort has an event time variable and a censoring indicator variable (specifying if the event of interest has occured). The hazard function and a cumulative hazard function are obtained Once estimates of the survival function and density function are obtained, then a likelihood can be specified to evaluate survival outcomes.

Binary outcomes

Understand how MECs can make CI statements using binary outcomes!!!

A landing page for how to use PSCs with survival data MEC and causal inference understand potential outcomes and how MEC make use for these to make CI statements