Handwritten digit recognition with MNIST & Keras

Targeted Maximum Likelihood Estimation for Hierarchical Data

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

A super learner was built by stacking logistic regression, random forest, and gradient boosting models (XGBoost) to predict whether a patient in the cardiac wards needs to be transferred to ICU.

Sklearn based Super Learning Stacked model

Nonparametric estimators of mediation effects with multiple mediators