mawiisurv 0.1.0

Semiparametric Causal Inference for Right-Censored Outcomes with Many Weak Invalid Instruments

mawiisurv

mawiisurv implements G‐estimation methods for treatment effects under endogeneity, both with and without right‐censoring, using a variety of machine‐learning and classical estimators.

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Features

• Complete‐data G‐estimator (mawii_noncensor)
• Right‐censoring G‐estimator (mawii_censor)
• Multiple model backends:
  • Neural networks
  • Linear regression
  • Random forests
  • XGBoost
• Choice of Generalized Empirical Likelihood (GEL) functions:
  • Empirical Tilting (ET)
  • Empirical Likelihood (EL)
  • Continuous Updating Estimator (CUE)

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Installation

Install from PyPI:

pip install mawiisurv



Dependencies
Make sure you have the following installed (the minimal compatible versions shown):
numpy>=1.19
torch>=1.8
scipy>=1.5
scikit-learn>=0.24
xgboost>=1.3
numba>=0.53