# 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.