Comparison of strategies when building linear prediction models. - Wiebe R. Pestman; Rolf H. H. Groenwold; Steven Teerenstra (Numer. Linear Algebra Appl., 2014)

Propensity score estimation using classification and regression trees in the presence of missing covariate data. - Bas B. L. Penning de Vries; Maarten van Smeden; Rolf H. H. Groenwold (CoRR, 2018)

The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis. - T. Katrien J. Groenhof; Folkert W. Asselbergs; Rolf H. H. Groenwold; Diederick E. Grobbee; Frank L. J. Visseren; Michiel L. Bots (BMC Medical Informatics Decis. Mak., 2019)

Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance. - Hendrikus J. A. van Os; Jos P. Kanning; Marieke J. H. Wermer; Niels H. Chavannes; Mattijs E. Numans; Ynte M. Ruigrok; Erik W. van Zwet; Ewout W. Steyerberg; Hein Putter; Rolf H. H. Groenwold (AMIA, 2021)

Mecor: An R package for measurement error correction in linear regression models with a continuous outcome. - Linda Nab; Maarten van Smeden; Ruth H. Keogh; Rolf H. H. Groenwold (Comput. Methods Programs Biomed., 2021)

Generating synthetic mixed discrete-continuous health records with mixed sum-product networks. - Shannon K. S. Kroes; Matthijs van Leeuwen; Rolf H. H. Groenwold; Mart P. Janssen (J. Am. Medical Informatics Assoc., 2022)

Evaluating Cluster-Based Synthetic Data Generation for Blood-Transfusion Analysis. - Shannon K. S. Kroes; Matthijs van Leeuwen; Rolf H. H. Groenwold; Mart P. Janssen (J. Cybersecur. Priv., 2023)