R-universe - hjmarquis (hjmarquis)

SMMAL - Semi-Supervised Estimation of Average Treatment Effects

Provides a pipeline for estimating the average treatment effect via semi-supervised learning. Outcome regression is fit with cross-fitting using various machine learning method or user customized function. Doubly robust ATE estimation leverages both labeled and unlabeled data under a semi-supervised missing-data framework. For more details see Hou et al. (2021) <doi:10.48550/arxiv.2110.12336>. A detailed vignette is included.

Last updated

2.70 score 4 scripts 222 downloads

curephEM - NPMLE for Logistic-Cox Cure-Rate Model

Expectation-Maximization (EM) algorithm for point estimation and variance estimation to the nonparametric maximum likelihood estimator (NPMLE) for logistic-Cox cure-rate model with left truncation and right- censoring. See Hou, Chambers and Xu (2017) <doi:10.1007/s10985-017-9415-2>.

Last updated

2.00 score 1 stars 10 scripts 274 downloads