ACIC 2016 Competition Datasets
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