Marginal and Conditional Importance Measures from Machine Learning Models and Their Relationship with Conditional Average Treatment Effect.

casebase: An Alternative Framework for Survival Analysis and Comparison of Event Rates.

Marginal Structural Models Using Calibrated Weights With SuperLearner: Application to Type II Diabetes Cohort.

Targeted L1-Regularization and Joint Modeling of Neural Networks for Causal Inference.

Normalized Augmented Inverse Probability Weighting with Neural Network Predictions.