ACIC 2016 Competition Datasets

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Authors: Alireza Mahani, Mansour Taghavi Azar Sharabiani, Alex Bottle
Cited by: 0

Abstract

Complete ACIC 2016 competition datasets, containing 7,700 simulated datasets from 77 Data Generating Processes from the Atlantic Causal Inference Conference 2016 Data Analysis Challenge. Each dataset includes covariates, binary treatment assignment, and outcomes. Ground truth Average Treatment Effects are provided for benchmarking estimator performance. Published in: Dorie, V., Hill, J., Shalit, U., Scott, M., & Cervone, D. (2019). Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition. Statistical Science, 34(1), 43-68.

Fields of Study & Subjects

Advanced Causal Inference Techniques Statistical Methods and Inference Statistical Methods in Clinical Trials

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Document type
Dataset