Pinned Repositories
DNNcausal
An R-package to estimate average causal effects with AIPW using Deep Neural Networks, in particular Convolutional NN.
Causal_CNN
This repository includes supplementary material to the manuscript Ghasempour, Moosavi and de Luna (2022, Convolutional neural networks for valid and efficient causal inference; soon to be published on arXiv).
SDRcausal
SDRcausal is a R Package that provides semiparametric estimators of Average Causal Effects, using sufficient dimension reduction for nuisance model estimation.
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
hdim.ui
hdim.ui - R package for sensitivity analysis in high-dimensional causal inference and missing outcome data contexts
ate-1-step-estimator
R Shiny app for visualisation of the 1-step estimator for the Average Treatment Effect (ATE).
Stat4Reg Lab's Repositories
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