3 papers
stat.ME2024
Recoverability of Causal Effects under Presence of Missing Data: a Longitudinal Case Study
Anastasiia Holovchak, Helen McIlleron, Paolo Denti +1
Missing data in multiple variables is a common issue. We investigate the applicability of the framework of graphical models for handling missing data to a complex longitudinal phar…
stat.ME2024
Causal Inference for Continuous Multiple Time Point Interventions
Michael Schomaker, Helen McIlleron, Paolo Denti +1
There are limited options to estimate the treatment effects of variables which are continuous and measured at multiple time points, particularly if the true dose-response curve sho…
cs.LG2024
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
Ludwig Bothmann, Susanne Dandl, Michael Schomaker
A decision can be defined as fair if equal individuals are treated equally and unequals unequally. Adopting this definition, the task of designing machine learning (ML) models that…