README.md

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 noisy networks  : getNoisyNet.R
• Estimate netork noise (Algorithm 1) : getNetNoise.R
• Estimate causal effects  : getEst.R
• Estimate variances and confidence intervals of estimators of causal effects  : getVarEst.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.