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Free software developped at Stat4Reg
See also Stat4Reg github: github.com/stat4reg
Covariate selection in causal inference:
Covariate selection in causal inference:
CovSel and CovSelHigh: Model-free covariate selection (R-package)
Semiparametric Sufficient Dimenstion Reduction (SDR) for causal inference
Semiparametric Sufficient Dimenstion Reduction (SDR) for causal inference
Deep Neural Networks (DNN) for causal inference
Deep Neural Networks (DNN) for causal inference
Sensitivity analysis
Sensitivity analysis
- Inference with (a) non-ignorable missing data, and (b) for causal parameters with unobserved confounders:
- High-dimensional causal inference and missing outcome data contexts
hdim.ui (R-package)
- Sensitivity analysis for mediation effects:
Influence function based one-step estimator of ACE
Influence function based one-step estimator of ACE
Benchmarking hospital performance:
Benchmarking hospital performance:
RiskStandard (R-package) and ROC webtool
Semi-parametric estimators of truncated regression models:
Semi-parametric estimators of truncated regression models:
Google Sites
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