In clinical trials, it is often of interest to understand the principal causal effect (PCE), the average treatment effect for a principal stratum (a subset of patients defined by the potential outcome

DataCite Commons2023-02-14 更新70

DeepMR estimates causal effects (CE) accurately with high coverage.

因果效应估计

因果推断

Accuracy is R2. Local corresponds to CEs for individual regions, global for the meta-analysis mean. For global CE accuracy and coverage the first value comes from using MR-Egger and the second from th

NIAID Data Ecosystem40

Causal Machine Learning Benchmark Datasets

因果学习

因果效应估计

This collection includes four well-known datasets used to benchmark causal machine learning algorithms. The datasets are: IHDP [1], News [2], Twins [3], Jobs [4].References[1] J. L. Hill, ‘Bayesian No

DataCite Commons2025-09-30 更新70

Double Machine Learning for Sample Selection Models

双重机器学习

样本选择

This article considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we comb

DataCite Commons2023-11-27 更新60

Longer-term ATE estimates, estimated by means of double ML.

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相关数据集