--- license: mit task_categories: - text-classification language: - en tags: - causal-reasoning - transitivity - d-separation - axiomatic-training - semantic-loss pretty_name: Causal Reasoning Benchma

Hugging Face2026-03-19 更新20

Likelihood-based deviance information criterion (DIC) scores for conventional causal (M4) and conventional reverse causal (M5) models, both (i) assume absence of pleiotropic effects of instruments on biomarkers and outcomes, (ii) explicitly exclude unmeasured confounders from modelling and (iii) ac

因果推断评估

孟德尔随机化

Digits after decimal point have been omitted from the table. Setting 1: precxt = 200, precx = 200, precy = 100; Setting 2: precxt = 1000, precx = 1000, precy = 0.1; Setting 3: precxt = 100, precx = 10

NIAID Data Ecosystem10

Comparison of matching estimates using KiGGS and GCP.

因果推断评估

儿童健康干预

Note: The results in the first column (KiGGS) correspond to our main set of results based on the KiGGS data but not controlling for state fixed effects. GPC A to C are based on the GCP data. In GPC A

Figshare2016-05-05 更新40

Crude difference in differences of household income between the study groups by gender.

因果推断评估

性别收入差距

Crude difference in differences of household income between the study groups by gender.

Figshare2025-11-12 更新10