Pinned Repositories
AIPW
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
AIPW_Simulation
bootstrap_ML
Confounder_Selection_w_Causal_Discovery
This repository stores the codes of simulations for "Challenges in automating confounder selection with causal discovery methods"
Multiple-selectors
An R Shiny app is used for testing multiple selectors and DT table interactivity.
npcausal
relate
R package 'relate' is to identify cohort cluster with disparate covariate information using a machine learning approach.
yqzhong7.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
yqzhong7's Repositories
yqzhong7/AIPW
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
yqzhong7/AIPW_Simulation
yqzhong7/Confounder_Selection_w_Causal_Discovery
This repository stores the codes of simulations for "Challenges in automating confounder selection with causal discovery methods"
yqzhong7/relate
R package 'relate' is to identify cohort cluster with disparate covariate information using a machine learning approach.
yqzhong7/bootstrap_ML
yqzhong7/Multiple-selectors
An R Shiny app is used for testing multiple selectors and DT table interactivity.
yqzhong7/npcausal
yqzhong7/yqzhong7.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics