Biographical Sketch

Thomas Debray is an assistant professor experienced in statistical methods for prediction modeling research using large, clustered, datasets from e-health records or individual participant data meta-analysis. His work primarily relates to assessing and improving the generalizability of risk predictions, to which purpose he refines methods for validation, regression analysis and machine learning. Many of these extensions have been implemented in his R package "metamisc", hosted on CRAN (https://CRAN.R-project.org/package=metamisc)

Thomas is currently appointed at Oxford University, University College London and Cochrane Netherlands where he provides guidance on the implementation of advanced meta-analysis methods.  


Awards

• VENI - ZonMW NWO - Better predictions using big data sets - Grant number: 016.176.050

Interests and Focus

Prediction modeling, meta-analysis, Machine Learning, regression analysis, evolutionary algorithms, Bayesian and frequentist statistics, Simulation & Sampling

Key Publications

• An overview of methods for network meta-analysis using individual participant data: when do benefits arise?

  Debray TPA, Schuit E, Efthimiou O, Reitsma JB, Ioannidis JP, Salanti G, Moons KG, on behalf of GetReal Workpackage 4. Statistical Methods in Medical Research, 2018;7;1351-1364

• Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use

  Debray TPA, Riley RD, Rovers M, Reistma JB, Moons KGM PLOS Medicine, 2015; 12; e1001886

• A guide to systematic review and meta-analysis of prediction model performance

  Debray TP, et. al. BMJ, 2017;356;i6460

• A new framework to enhance the interpretation of external validation studies of clinical prediction models.

  Debray TPA, Vergouwe Y, Koffijberg H, Nieboer D, Steyerberg EW, Moons KGM Journal of Clinical Epidemiology, 2014

• Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE

  Debray TPA, Jolani S, Koffijberg H, van Buuren S, Moons KGM Statistics in Medicine, 2015

• Meta-analysis and aggregation of multiple published prediction models.

  Debray TP, Koffijberg H, Nieboer D, Vergouwe Y, Steyerberg EW, Moons KG Statistics in Medicine, 2014;33(14);2341-2362

• A framework for developing, implementing, and evaluating clinical prediction models in an individual participant data meta-analysis

  Debray TP, Moons KG, Ahmed I, Koffijberg H, Riley RD Statistics in Medicine, 2013;32(18);3158-3180

• Aggregating published prediction models with individual patient data: a comparison of different approaches

  Debray TP, Koffijberg H, Vergouwe Y, Moons KG, Steyerberg EW Statistics in Medicine, 2012;31(23);2697-2712

• Get real in individual participant data (IPD) meta-analysis: a review of the methodology.

  Debray TP, Moons KG, van Valkenhoef G, Efthimiou O, Hummel N, Groenwold RH, Reitsma JB, GetReal methods review group. Research Synthesis Methods, 2015

• Incorporating published univariable associations in diagnostic and prognostic modeling.

  Debray TP, Koffijberg H, Lu D, Vergouwe Y, Steyerberg EW, Moons KG BMC Medical Research Methodology, 2012

• Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?

  Debray TPA, Moons KGM, Abo-Zaid G, Koffijberg H, Riley RD PLoS ONE, 2013 Apr 9;8(4):e60650

All Pubmed publications

• Link to all of this author's publications

Related Links

• Homepage

• Tutorial HPC computing