Interaction Testing in Variation Analysis
Plečko, D. — Technical Report R-21 (DPlecko), UCLA, 2025
Sensitivity Analysis for Causal Effects under Imperfectly Observed Binary Confounding
Plečko, D. — Technical Report R-20 (DPlecko), UCLA, 2025
Differential Impact of Sex and Age on the Obesity Paradox
Plečko, D.; Modra, L.; Pilcher, D.; Bellomo, R. — Australian Critical Care, 2025 (under review)
Epidemiology of Large Language Models
Plečko, D.; Okanović, P.; Hoefler, T.; Bareinboim, E.; — Technical Report R-18 (DPlecko), UCLA, 2025
On the Structural Basis of Conditional Ignorability
Bareinboim, E.; Plečko, D. — Technical Report R-17 (DPlecko), UCLA, 2025
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in ICU Outcomes
Plečko, D. et.al — Technical Report R-16 (DPlecko), UCLA, 2025
Beyond the Back-door: Probabilities of Identification
Plečko, D.; Bareinboim, E.; Bradač, D.; Bucić, M. — Technical Report R-15 (DPlecko), UCLA, 2025
A Framework and Analytical Exploration for a Data-driven Update of the SOFA Score in Sepsis
Plečko, D. et. al. — Critical Care & Resuscitation, 27(1):100105, 2025
Counterfactual Identification under Monotonicity Constraints
Maiti, A.; Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2025
Fairness–Accuracy Trade-offs: A Causal Perspective
Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2025
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
Plečko, D.; Bareinboim, E. — Advances in Neural Information Processing Systems (NeurIPS), 2024
Causal Fairness Analysis
Plečko, D.; Bareinboim, E. — Foundations and Trends in Machine Learning, 17 (3):304–589, 2024
Reconciling Predictive and Statistical Parity: A Causal Approach
Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2024
A Causal Framework for Decomposing Spurious Variations
Plečko, D.; Bareinboim, E. — Advances in Neural Information Processing Systems (NeurIPS), 2023
Causal Fairness for Outcome Control
ricu: R’s Interface to Intensive Care Data
Bennett*, N.; Plečko*, D.; et al. — GigaScience 12, giad041 (2023)
Predicting Sepsis Using Deep Learning across International Sites
Moor*, M.; Bennett*, N.; Plečko*, D.; Horn*, M.; et. al. — The Lancet eClinical Medicine, 62:102124, 2023.
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in Intensive Care
Plečko, D. et al. — Acta Anaesthesiologica Scandinavica, 0(0):1–11, 10 2021.
The Obesity Paradox and Hypoglycemia in Critically Ill Patients
Plečko, D.; Bennett, N.; Mårtensson, J.; Bellomo, R. — Critical Care 25(1):1–15, 2021.
fairadapt: Causal Reasoning for Fair Data Pre-processing
Plečko, D.; Bennett, N.; Meinshausen, N. — Journal of Statistical Software, 110(4), 2024
Fair Data Adaptation with Quantile Preservation
Plečko, D.; Meinshausen, N. — Journal of Machine Learning Research 21(242):1–44, 2020