2 papers
stat.ME2026
Counterfactual Optimization of Policy Interventions: Lexical Ordering and Leapfrogging
Martina Scauda, Tobias Freidling, Qingyuan Zhao
Most data-driven policy learning methods maximize average outcomes, overlooking the possibility that a policy beneficial on average may still harm a substantial fraction of individ…
stat.ME2024
Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
Christian Bartels, Martina Scauda, Neva Coello +3
Non-linear mixed effects modeling and simulation (NLME M&S) is evaluated to be used for standardization with longitudinal data in presence of confounders. Standardization is a well…