Awesome
CausInfNoisyNet
This repository contains code supporting the text "Causal Inference under Network Interference with Noise"
R
- Create true networks : createTrueNet.R
- Create treatments : createTreatment.R
- Create potential outcomes : createOutcome.R
- Create noisy networks : getNoisyNet.R
- Estimate netork noise (Algorithm 1) : getNetNoise.R
- Estimate causal effects, and variances of estimators of causal effects: getEst.R
Results
- Figure 4.1 : simulation.R
Data
British secondary schools
Kucharski, Adam J., et al. "Structure and consistency of self-reported social contact networks in British secondary schools." PloS one 13.7 (2018): e0200090.