The use of prognostic scores for causal inference with general treatment regimes

Tekijä Nguyen, Tri‐Long, Debray, Thomas P.A.
Julkaisussa Stat Med (2019)

Prognostic models for predicting the severity and mortality in people with acute pancreatitis

Tekijä Gurusamy, Kurinchi Selvan, Debray, Thomas P A, Rompianesi, Gianluca
Julkaisussa Cochrane Database Syst Rev (2018)

Detecting small‐study effects and funnel plot asymmetry in meta‐analysis of survival data: A comparison of new and existing tests

Tekijä Debray, Thomas P. A., Moons, Karel G. M., Riley, Richard D.
Julkaisussa Res Synth Methods (2017)

Assessment of heterogeneity in an individual participant data meta‐analysis of prediction models: An overview and illustration

Tekijä Steyerberg, Ewout W., Nieboer, Daan, Debray, Thomas P.A., van Houwelingen, Hans C.
Julkaisussa Stat Med (2019)

Isoniazid Prophylactic Therapy for the Prevention of Tuberculosis in HIV Infected Adults: A Systematic Review and Meta-Analysis of Randomized Trials

Tekijä Ayele, Henok Tadesse, van Mourik, Maaike S. M., Debray, Thomas P. A., Bonten, Marc J. M.
Julkaisussa PLoS One (2015)

Evidence synthesis in prognosis research

Tekijä Debray, Thomas P.A., de Jong, Valentijn M.T., Moons, Karel G.M., Riley, Richard D.
Julkaisussa Diagn Progn Res (2019)

Statistical approaches to identify subgroups in meta-analysis of individual participant data: a simulation study

Tekijä Belias, Michail, Rovers, Maroeska M., Reitsma, Johannes B., Debray, Thomas P. A., IntHout, Joanna
Julkaisussa BMC Med Res Methodol (2019)

On the aggregation of published prognostic scores for causal inference in observational studies

Tekijä Nguyen, Tri‐Long, Collins, Gary S., Pellegrini, Fabio, Moons, Karel G.M., Debray, Thomas P.A.
Julkaisussa Stat Med (2020)

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

Tekijä Debray, Thomas P. A., Riley, Richard D., Rovers, Maroeska M., Reitsma, Johannes B., Moons, Karel G. M.
Julkaisussa PLoS Med (2015)

Development and validation of a novel prediction model to identify patients in need of specialized trauma care during field triage: design and rationale of the GOAT study

Tekijä van der Sluijs, Rogier, Debray, Thomas P. A., Poeze, Martijn, Leenen, Loek P. H., van Heijl, Mark
Julkaisussa Diagn Progn Res (2019)

Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?

Tekijä Debray, Thomas P. A., Moons, Karel G. M., Abo-Zaid, Ghada Mohammed Abdallah, Koffijberg, Hendrik, Riley, Richard David
Julkaistu 2013

Measuring the performance of prediction models to personalize treatment choice

Tekijä Efthimiou, Orestis, Hoogland, Jeroen, Debray, Thomas P.A., Seo, Michael, Furukawa, Toshiaki A., Egger, Matthias, White, Ian R.
Julkaisussa Stat Med (2023)

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?

Tekijä Jenkins, David A., Martin, Glen P., Sperrin, Matthew, Riley, Richard D., Debray, Thomas P. A., Collins, Gary S., Peek, Niels
Julkaisussa Diagn Progn Res (2021)

Developing more generalizable prediction models from pooled studies and large clustered data sets

Tekijä de Jong, Valentijn M. T., Moons, Karel G. M., Eijkemans, Marinus J. C., Riley, Richard D., Debray, Thomas P. A.
Julkaisussa Stat Med (2021)

GetReal in mathematical modelling: a review of studies predicting drug effectiveness in the real world

Tekijä Panayidou, Klea, Gsteiger, Sandro, Egger, Matthias, Kilcher, Gablu, Carreras, Máximo, Efthimiou, Orestis, Debray, Thomas P. A., Trelle, Sven, Hummel, Noemi
Julkaisussa Res Synth Methods (2016)

Summarising and validating test accuracy results across multiple studies for use in clinical practice

Tekijä Riley, Richard D., Ahmed, Ikhlaaq, Debray, Thomas P. A., Willis, Brian H., Noordzij, J. Pieter, Higgins, Julian P.T., Deeks, Jonathan J.
Julkaisussa Stat Med (2015)

Individual participant data meta-analyses should not ignore clustering

Tekijä Abo-Zaid, Ghada, Guo, Boliang, Deeks, Jonathan J., Debray, Thomas P.A., Steyerberg, Ewout W., Moons, Karel G.M., Riley, Richard David
Julkaistu 2013

Multivariate meta-analysis of individual participant data helped externally validate the performance and implementation of a prediction model

Tekijä Snell, Kym I.E., Hua, Harry, Debray, Thomas P.A., Ensor, Joie, Look, Maxime P., Moons, Karel G.M., Riley, Richard D.
Julkaisussa J Clin Epidemiol (2016)

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Tekijä Riley, Richard D, Ensor, Joie, Snell, Kym I E, Debray, Thomas P A, Altman, Doug G, Moons, Karel G M, Collins, Gary S
Julkaisussa BMJ (2016)

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

Tekijä Debray, Thomas P. A., Moons, Karel G. M., van Valkenhoef, Gert, Efthimiou, Orestis, Hummel, Noemi, Groenwold, Rolf H. H., Reitsma, Johannes B.
Julkaisussa Res Synth Methods (2015)