A review of causal inference approaches with partial interference
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Updated
May 14, 2024 - HTML
A review of causal inference approaches with partial interference
This repository will contain the code for generating (Java) and analysing (R programming language) a simple multi-Agent Based Model (mABM) of patients in a 2D continuous space. The idea is to simulate (i) causal diagrams for interference, (ii) ABMs, and the contagion of a disease thought a social network.
Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity with Binary Outcomes
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