Thomas P A Debray (T P A Debray, Thomas Pa Debray, Thomas Debray)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 59

Top Venues

Statistics in medicine

BMJ (Clinical research ed.)

Journal of comparative effectiveness research

Research synthesis methods

University College London

Utrecht University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University College London

United Kingdom

Honorary Senior Research Associate :: Institute of Health Informatics

University of Oxford

United Kingdom

Honorary Departmental Senior Research Fellow :: Botnar Research Centre

Cochrane Netherlands

Netherlands

Affiliated researcher

University Medical Center Utrecht Sep 01 2013

Netherlands

Assistant Professor :: Julius Center for Health Sciences and Primary Care

Education History

Utrecht University Sep 01 2009 - Oct 31 2013

Netherlands

PHD

Utrecht University Sep 01 2010 - Jun 30 2013

Netherlands

MSC

Maastricht University Sep 01 2007 - Jun 30 2009

Netherlands

MSC

University College Ghent Sep 01 2004 - Jun 30 2007

Belgium

BSC

Publications

Orestis Efthimiou, Michael Seo, Konstantina Chalkou, Thomas P A Debray, Matthias Egger, Georgia Salanti
Developing clinical prediction models: a step-by-step guide. BMJ (Clinical research ed.) 386 (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research 13 (2) (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research 13 (2) (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research 13 (2) (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research 13 (2) (2024)
Orestis Efthimiou, Michael Seo, Konstantina Chalkou, Thomas P A Debray, Matthias Egger, Georgia Salanti
Developing clinical prediction models: a step-by-step guide. BMJ (Clinical research ed.) 386 (2024)
Gabrielle Simoneau, Marian Mitroiu, Thomas P A Debray, Wei Wei, Stan R W Wijn, Joana Caldas Magalhães, Justin Bohn, Changyu Shen, Fabio Pellegrini, Carl de Moor
Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of comparative effectiveness research 13 (2) (2024)
Jeroen Hoogland, Orestis Efthimiou, Tri-Long Nguyen, Thomas P A Debray
Evaluating individualized treatment effect predictions: A model-based perspective on discrimination and calibration assessment. Statistics in medicine (2024)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ (Clinical research ed.) 380 (2023)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ (Clinical research ed.) 380 (2023)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist. BMJ (Clinical research ed.) 380 (2023)
Orestis Efthimiou, Jeroen Hoogland, Thomas P A Debray, Michael Seo, Toshiaki A Furukawa, Matthias Egger, Ian R White
Measuring the performance of prediction models to personalize treatment choice. Statistics in medicine 42 (8) (2023)
Ulrich Robert Mansmann, Clara Locher, Fabian Prasser, Tracey L Weissberger, Ulrich Sax, Martin Posch, Evelyne Decullier, Ioana A Cristea, Thomas P A Debray, Leonhard Held, David Moher, John P A Ioannidis, Joseph R Ross, Christian Ohmann, Florian Naudet
Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature medicine 29 (2) (2023)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ (Clinical research ed.) 380 (2023)
Marissa Betts, Kyle Fahrbach, Binod Neupane, Mahmoud Slim, Maria Pia Sormani, Gary R Cutter, Thomas P A Debray, Marvin Rock
Handling related publications reporting real-world evidence in network meta-analysis: a case study in multiple sclerosis. Journal of comparative effectiveness research (2023)
Johanna Muñoz, Heather Hufstedler, Juxin Liu, Till Bärnighausen, Valentijn M T de Jong, Thomas P A Debray
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists. International journal of epidemiology 52 (1) (2023)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ (Clinical research ed.) 380 (2023)
Valentijn M T de Jong, Jeroen Hoogland, Karel G M Moons, Richard D Riley, Tri-Long Nguyen, Thomas P A Debray
Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target population. Statistics in medicine (2023)
Jeroen Hoogland, Thomas P A Debray, Michael J Crowther, Richard D Riley, Joanna IntHout, Johannes B Reitsma, Aeilko H Zwinderman
Regularized parametric survival modeling to improve risk prediction models. Biometrical journal. Biometrische Zeitschrift (2023)
Thomas P A Debray, Gary S Collins, Richard D Riley, Kym I E Snell, Ben Van Calster, Johannes B Reitsma, Karel G M Moons
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration. BMJ (Clinical research ed.) 380 (2023)
Johanna Muñoz, Heather Hufstedler, Juxin Liu, Till Bärnighausen, Valentijn M T de Jong, Thomas P A Debray
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists. International journal of epidemiology (2023)
Orestis Efthimiou, Jeroen Hoogland, Thomas P A Debray, Michael Seo, Toshiaki A Furukawa, Matthias Egger, Ian R White
Measuring the performance of prediction models to personalize treatment choice. Statistics in medicine (2023)
Orestis Efthimiou, Jeroen Hoogland, Thomas P A Debray, Michael Seo, Toshiaki A Furukawa, Matthias Egger, Ian R White
Measuring the performance of prediction models to personalize treatment choice. Statistics in medicine 42 (8) (2023)
Ulrich Robert Mansmann, Clara Locher, Fabian Prasser, Tracey L Weissberger, Ulrich Sax, Martin Posch, Evelyne Decullier, Ioana A Cristea, Thomas P A Debray, Leonhard Held, David Moher, John P A Ioannidis, Joseph R Ross, Christian Ohmann, Florian Naudet
Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature medicine 29 (2) (2023)
Ulrich Robert Mansmann, Clara Locher, Fabian Prasser, Tracey L Weissberger, Ulrich Sax, Martin Posch, Evelyne Decullier, Ioana A Cristea, Thomas P A Debray, Leonhard Held, David Moher, John P A Ioannidis, Joseph R Ross, Christian Ohmann, Florian Naudet
Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature medicine (2023)
Orestis Efthimiou, Jeroen Hoogland, Thomas P A Debray, Michael Seo, Toshiaki A Furukawa, Matthias Egger, Ian R White
Measuring the performance of prediction models to personalize treatment choice. Statistics in medicine 42 (8) (2023)
Thomas P A Debray, Gabrielle Simoneau, Massimiliano Copetti, Robert W Platt, Changyu Shen, Fabio Pellegrini, Carl de Moor
Methods for comparative effectiveness based on time to confirmed disability progression with irregular observations in multiple sclerosis. Statistical methods in medical research (2023)
Ulrich Robert Mansmann, Clara Locher, Fabian Prasser, Tracey L Weissberger, Ulrich Sax, Martin Posch, Evelyne Decullier, Ioana A Cristea, Thomas P A Debray, Leonhard Held, David Moher, John P A Ioannidis, Joseph R Ross, Christian Ohmann, Florian Naudet
Implementing clinical trial data sharing requires training a new generation of biomedical researchers. Nature medicine 29 (2) (2023)
Johanna Muñoz, Orestis Efthimiou, Vincent Audigier, Valentijn M T de Jong, Thomas P A Debray
Multiple imputation of incomplete multilevel data using Heckman selection models. Statistics in medicine (2023)
Johanna Muñoz, Heather Hufstedler, Juxin Liu, Till Bärnighausen, Valentijn M T de Jong, Thomas P A Debray
Dealing with missing data using the Heckman selection model: methods primer for epidemiologists. International journal of epidemiology 52 (1) (2023)
Michail Belias, Maroeska M Rovers, Jeroen Hoogland, Johannes B Reitsma, Thomas P A Debray, Joanna IntHout
Predicting personalised absolute treatment effects in individual participant data meta-analysis: An introduction to splines. Research synthesis methods 13 (2) (2022)
Valentijn M T de Jong, Rebecca Z Rousset, Neftalí Eduardo Antonio-Villa, Arnoldus G Buenen, Ben Van Calster, Omar Yaxmehen Bello-Chavolla, Nigel J Brunskill, Vasa Curcin, Johanna A A G Damen, Carlos A Fermín-Martínez, Luisa Fernandez-Chirino, Davide Ferrari, Robert C Free, Rishi K Gupta, Pranabashis Haldar, Pontus Hedberg, Steven Kwasi Korang, Steef Kurstjens, Ron Kusters, Rupert W Major, Lauren Maxwell, Rajeshwari Nair, Pontus Naucler, Tri-Long Nguyen, Mahdad Noursadeghi, Rossana M Rosa, Felipe Soares, Toshihiko Takada, Florien Sophie-Anne van Royen, Maarten van Smeden, Laure Wynants, Martin Modrák, null null, Folkert W. Asselbergs, Marijke Linschoten, null null, Karel G M Moons, Thomas P A Debray
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis. BMJ (Clinical research ed.) 378 (2022)
Gabrielle Simoneau, Fabio Pellegrini, Thomas P A Debray, Julie Rouette, Johanna Muñoz, Robert W Platt, John Petkau, Justin Bohn, Changyu Shen, Carl de Moor, Mohammad Ehsanul Karim
Recommendations for the use of propensity score methods in multiple sclerosis research. Multiple sclerosis (Houndmills, Basingstoke, England) 28 (9) (2022)
Michael Seo, Thomas P A Debray, Yann Ruffieux, Sandro Gsteiger, Sylwia Bujkiewicz, Axel Finckh, Matthias Egger, Orestis Efthimiou
Combining individual patient data from randomized and non-randomized studies to predict real-world effectiveness of interventions. Statistical methods in medical research 31 (7) (2022)
Valentijn M T de Jong, Harlan Campbell, Lauren Maxwell, Thomas Jaenisch, Paul Gustafson, Thomas P A Debray
Adjusting for misclassification of an exposure in an individual participant data meta-analysis. Research synthesis methods (2022)
Anne A H de Hond, Artuur M Leeuwenberg, Lotty Hooft, Ilse M J Kant, Steven W J Nijman, Hendrikus J A van Os, Jiska Joëlle Aardoom, Thomas P A Debray, Ewoud Schuit, Maarten van Smeden, Johannes B Reitsma, Ewout W Steyerberg, Niels H Chavannes, Karel G M Moons
Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ digital medicine 5 (1) (2022)
Richard D Riley, Thomas P A Debray, Gary S Collins, Lucinda Archer, Joie Ensor, Maarten van Smeden, Kym I E Snell
Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in medicine 40 (19) (2021)
Joie Ensor, Kym I E Snell, Thomas P A Debray, Paul C Lambert, Maxime P Look, Mamas A Mamas, Karel G M Moons, Richard D Riley
Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model. Statistics in medicine 40 (13) (2021)
Harlan Campbell, Valentijn M T de Jong, Lauren Maxwell, Thomas Jaenisch, Thomas P A Debray, Paul Gustafson
Measurement error in meta-analysis (MEMA)-A Bayesian framework for continuous outcome data subject to non-differential measurement error. Research synthesis methods 12 (6) (2021)
Valentijn M T de Jong, Karel G M Moons, Marinus J C Eijkemans, Richard D Riley, Thomas P A Debray
Developing more generalizable prediction models from pooled studies and large clustered data sets. Statistics in medicine 40 (15) (2021)
Elvira D'Andrea, Lydia Vinals, Elisabetta Patorno, Jessica M Franklin, Dimitri Bennett, Joan A Largent, Daniela C Moga, Hongbo Yuan, Xuerong Wen, Andrew R Zullo, Thomas P A Debray, Grammati Sarri
How well can we assess the validity of non-randomised studies of medications? A systematic review of assessment tools. BMJ open 11 (3) (2021)
Jeroen Hoogland, Joanna IntHout, Michail Belias, Maroeska M Rovers, Richard D Riley, Frank E Harrell, Karel G M Moons, Thomas P A Debray, Johannes B Reitsma
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint. Statistics in medicine 40 (26) (2021)
Heather Hufstedler, Ellicott C Matthay, Sabahat Rahman, Valentijn M T de Jong, Harlan Campbell, Paul Gustafson, Thomas P A Debray, Thomas Jaenisch, Lauren Maxwell, Till Bärnighausen
Current trends in the application of causal inference methods to pooled longitudinal observational infectious disease studies-A protocol for a methodological systematic review. PloS one 16 (4) (2021)
Jeroen Hoogland, Marit van Barreveld, Thomas P A Debray, Johannes B Reitsma, Tom E Verstraelen, Marcel G W Dijkgraaf, Aeilko H Zwinderman
Handling missing predictor values when validating and applying a prediction model to new patients. Statistics in medicine 39 (25) (2020)
Tri-Long Nguyen, Gary Stephen Collins, Fabio Pellegrini, Karel G M Moons, Thomas P A Debray
On the aggregation of published prognostic scores for causal inference in observational studies. Statistics in medicine 39 (10) (2020)
Grammati Sarri, Elisabetta Patorno, Hongbo Yuan, Jianfei Jeff Guo, Dimitri Bennett, Xuerong Wen, Andrew R Zullo, Joan Largent, Mary Panaccio, Mugdha Gokhale, Daniela Claudia Moga, M Sanni Ali, Thomas P A Debray
Framework for the synthesis of non-randomised studies and randomised controlled trials: a guidance on conducting a systematic review and meta-analysis for healthcare decision making. BMJ evidence-based medicine (2020)
Laure Wynants, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Marc J M Bonten, Darren L Dahly, Johanna A A Damen, Thomas P A Debray, Valentijn M T de Jong, Maarten de Vos, Paul Dhiman, Maria C Haller, Michael O Harhay, Liesbet Henckaerts, Pauline Heus, Michael Kammer, Nina Kreuzberger, Anna Lohmann, Kim Luijken, Jie Ma, Glen P Martin, David J McLernon, Constanza L Andaur Navarro, Johannes B Reitsma, Jamie C Sergeant, Chunhu Shi, Nicole Skoetz, Luc J M Smits, Kym I E Snell, Matthew Sperrin, René Spijker, Ewout Willem Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander M J van Kuijk, Bas van Bussel, Iwan C C van der Horst, Florien S van Royen, Jan Y Verbakel, Christine Schilhart-Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel G M Moons, Maarten van Smeden
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal BMJ (Clinical research ed.) 369 (2020)
Richard D Riley, Thomas P A Debray, David Fisher, Miriam Hattle, Nadine Marlin, Jeroen Hoogland, Francois Gueyffier, Jan A Staessen, Jiguang Wang, Karel G M Moons, Johannes B Reitsma, Joie Ensor
Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: Statistical recommendations for conduct and planning. Statistics in medicine 39 (15) (2020)
Valentijn M T de Jong, Karel G M Moons, Richard D Riley, Catrin Tudur Smith, Anthony G Marson, Marinus J C Eijkemans, Thomas P A Debray
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example. Research synthesis methods 11 (2) (2020)
Sara J Baart, Veerle Dam, Luuk J J Scheres, Johanna A A G Damen, René Spijker, Ewoud Schuit, Thomas P A Debray, Bart C J M Fauser, Eric Boersma, Karel G M Moons, Yvonne T van der Schouw, null null
Cardiovascular risk prediction models for women in the general population: A systematic review. PloS one 14 (1) (2019)
Tri-Long Nguyen, Thomas P A Debray
The use of prognostic scores for causal inference with general treatment regimes. Statistics in medicine 38 (11) (2019)
Fabio Pellegrini, Massimiliano Copetti, Maria Pia Sormani, Francesca Bovis, Carl de Moor, Thomas P A Debray, Bernd C Kieseier
Predicting disability progression in multiple sclerosis: Insights from advanced statistical modeling. Multiple sclerosis (Houndmills, Basingstoke, England) 26 (14) (2019)
Ewout Willem Steyerberg, Daan Nieboer, Thomas P A Debray, Hans C van Houwelingen
Assessment of heterogeneity in an individual participant data meta-analysis of prediction models: An overview and illustration. Statistics in medicine 38 (22) (2019)
Thomas P A Debray, Valentijn M T de Jong, Karel G M Moons, Richard D Riley
Evidence synthesis in prognosis research. Diagnostic and prognostic research 3 (2019)
Thomas P A Debray, Johanna Aag Damen, Richard D Riley, Kym I E Snell, Johannes B Reitsma, Lotty Hooft, Gary Stephen Collins, Karel Gm Moons
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Statistical methods in medical research 28 (9) (2018)
Thomas P A Debray, Karel G M Moons, Richard D Riley
Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: A comparison of new and existing tests. Research synthesis methods 9 (1) (2017)
Orestis Efthimiou, Dimitris Mavridis, Thomas P A Debray, Myrto Samara, Mark Belger, George C M Siontis, Stefan Leucht, Georgia Salanti, null null
Combining randomized and non-randomized evidence in network meta-analysis. Statistics in medicine 36 (8) (2017)
Yvonne Vergouwe, Daan Nieboer, Rianne Oostenbrink, Thomas P A Debray, Gordon D Murray, Michael W Kattan, Hendrik Koffijberg, Karel G M Moons, Ewout Willem Steyerberg
A closed testing procedure to select an appropriate method for updating prediction models. Statistics in medicine 36 (28) (2016)

Thomas P A Debray.css-eqlu8i{font-size:small;padding-left:4px;} (T P A Debray, Thomas Pa Debray, Thomas Debray)

Publication Activity (10 Years)

Top Topics

Top Venues

Thomas P A Debray (T P A Debray, Thomas Pa Debray, Thomas Debray)