Use of unstructured text in prognostic clinical prediction models: a systematic review. - Tom M. Seinen; Egill A. Fridgeirsson; Solomon Ioannou; Daniel Jeannetot; Luis H. John; Jan A. Kors; Aniek F. Markus; Victor Pera; Alexandros Rekkas; Ross D. Williams; Cynthia Yang; Erik M. van Mulligen; et al. (J. Am. Medical Informatics Assoc., 2022)

Trends in the conduct and reporting of clinical prediction model development and validation: a systematic review. - Cynthia Yang; Jan A. Kors; Solomon Ioannou; Luis H. John; Aniek F. Markus; Alexandros Rekkas; Maria A. J. de Ridder; Tom M. Seinen; Ross D. Williams; Peter R. Rijnbeek (J. Am. Medical Informatics Assoc., 2022)

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability. - Jenna Marie Reps; Ross D. Williams; Martijn J. Schuemie; Patrick B. Ryan; Peter R. Rijnbeek (BMC Medical Informatics Decis. Mak., 2022)

Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research. - Martijn J. Schuemie; Jenna Reps; Adam Black; Frank J. DeFalco; Lee Evans; Egill A. Fridgeirsson; James P. Gilbert; Chris Knoll; Martin Lavallee; Gowtham A. Rao; Peter R. Rijnbeek; Katy Sadowski; et al. (MedInfo, 2023)

The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction Models. - Ross D. Williams; Sicco den Otter; Jenna Marie Reps; Peter R. Rijnbeek (MIE, 2023)

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability? - Cynthia Yang; Egill A. Fridgeirsson; Jan A. Kors; Jenna Marie Reps; Peter R. Rijnbeek; Jenna Wong; Ross D. Williams (MIE, 2023)

Comparing penalization methods for linear models on large observational health data. - Egill A. Fridgeirsson; Ross D. Williams; Peter R. Rijnbeek; Marc A. Suchard; Jenna Marie Reps (J. Am. Medical Informatics Assoc., 2024)

Unlocking efficiency in real-world collaborative studies: a multi-site international study with one-shot lossless GLMM algorithm. - Jiayi Tong; Jenna Marie Reps; Chongliang Luo; Yiwen Lu; Lu Li; Juan Manuel Ramirez-Anguita; Milou T. Brand; Scott L. DuVall; Thomas Falconer; Alex Mayer Fuentes; Xing He 003; Michael E. Matheny; et al. (npj Digit. Medicine, 2025)