Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies. - Thierry Verplancke; Stijn Van Looy; Dominique Benoit; Stijn Vansteelandt; Pieter Depuydt; Filip De Turck; Johan Decruyenaere (BMC Medical Informatics Decis. Mak., 2008)

Make the most of your samples: Bayes factor estimators for high-dimensional models of sequence evolution. - Guy Baele; Philippe Lemey; Stijn Vansteelandt (BMC Bioinform., 2013)

Small sample inference for probabilistic index models. - Gustavo Amorim; Olivier Thas; Karel Vermeulen; Stijn Vansteelandt; Jan De Neve (Comput. Stat. Data Anal., 2018)

Challenges in systematic reviews and meta-analyses of mediation analyses. - Tat-Thang Vo; Stijn Vansteelandt (CoRR, 2021)

Synthetic Data: Can We Trust Statistical Estimators? - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (CoRR, 2023)

Debiasing Synthetic Data Generated by Deep Generative Models. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Johan Decruyenaere; Christiaan Polet; Thomas Demeester; Stijn Vansteelandt (NeurIPS, 2024)

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (UAI, 2024)

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data. - Matthew Pryce; Karla Diaz-Ordaz; Ruth H. Keogh; Stijn Vansteelandt (CoRR, 2024)