Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis von Damen, Johanna A, Pajouheshnia, Romin, Heus, Pauline, Moons, Karel G M, Reitsma, Johannes B, Scholten, Rob J P M, Hooft, Lotty, Debray, Thomas P A

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A new framework to enhance the interpretation of external validation studies of clinical prediction models von Debray, Thomas P.A, Vergouwe, Yvonne, Koffijberg, Hendrik, Nieboer, Daan, Steyerberg, Ewout W, Moons, Karel G.M

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Individual participant data meta-analysis for a binary outcome: one-stage or two-stage? von Debray, Thomas P A, Moons, Karel G M, Abo-Zaid, Ghada Mohammed Abdallah, Koffijberg, Hendrik, Riley, Richard David

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External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges von Riley, Richard D, Ensor, Joie, Snell, Kym I E, Debray, Thomas P A, Altman, Doug G, Moons, Karel G M, Collins, Gary S

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A guide to systematic review and meta-analysis of prediction model performance von Debray, Thomas P A, Damen, Johanna A A G, Snell, Kym I E, Ensor, Joie, Hooft, Lotty, Reitsma, Johannes B, Riley, Richard D, Moons, Karel G M

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Isoniazid Prophylactic Therapy for the Prevention of Tuberculosis in HIV Infected Adults: A Systematic Review and Meta-Analysis of Randomized Trials von Ayele, Henok Tadesse, Mourik, Maaike S M van, Debray, Thomas P A, Bonten, Marc J M

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Implementing clinical trial data sharing requires training a new generation of biomedical researchers von Mansmann, Ulrich, Locher, Clara, Prasser, Fabian, Weissgerber, Tracey, Sax, Ulrich, Posch, Martin, Decullier, Evelyne, Cristea, Ioana A., Debray, Thomas P. A., Held, Leonhard, Moher, David, Ioannidis, John P. A., Ross, Joseph S., Ohmann, Christian, Naudet, Florian

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Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review von de Hond, Anne A. H., Leeuwenberg, Artuur M., Hooft, Lotty, Kant, Ilse M. J., Nijman, Steven W. J., van Os, Hendrikus J. A., Aardoom, Jiska J., Debray, Thomas P. A., Schuit, Ewoud, van Smeden, Maarten, Reitsma, Johannes B., Steyerberg, Ewout W., Chavannes, Niels H., Moons, Karel G. M.

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Combining randomized and non‐randomized evidence in network meta‐analysis von Efthimiou, Orestis, Mavridis, Dimitris, Debray, Thomas P. A., Samara, Myrto, Belger, Mark, Siontis, George C. M., Leucht, Stefan, Salanti, Georgia

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Get real in individual participant data (IPD) meta-analysis: a review of the methodology von Debray, Thomas P. A., Moons, Karel G. M., van Valkenhoef, Gert, Efthimiou, Orestis, Hummel, Noemi, Groenwold, Rolf H. H., Reitsma, Johannes B.

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Individual participant data (IPD) meta-analyses of diagnostic and prognostic modeling studies: guidance on their use von Debray, Thomas P A, Riley, Richard D, Rovers, Maroeska M, Reitsma, Johannes B, Moons, Karel G M

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A closed testing procedure to select an appropriate method for updating prediction models von Vergouwe, Yvonne, Nieboer, Daan, Oostenbrink, Rianne, Debray, Thomas P. A., Murray, Gordon D., Kattan, Michael W., Koffijberg, Hendrik, Moons, Karel G. M., Steyerberg, Ewout W.

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Individual participant data meta‐analysis to examine interactions between treatment effect and participant‐level covariates: Statistical recommendations for conduct and planning... von Riley, Richard D., Debray, Thomas P.A., Fisher, David, Hattle, Miriam, Marlin, Nadine, Hoogland, Jeroen, Gueyffier, Francois, Staessen, Jan A., Wang, Jiguang, Moons, Karel G.M., Reitsma, Johannes B., Ensor, Joie

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Detecting small‐study effects and funnel plot asymmetry in meta‐analysis of survival data: A comparison of new and existing tests von Debray, Thomas P. A., Moons, Karel G. M., Riley, Richard D.

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An overview of methods for network meta-analysis using individual participant data: when do benefits arise? von Debray, Thomas PA, Schuit, Ewoud, Efthimiou, Orestis, Reitsma, Johannes B, Ioannidis, John PA, Salanti, Georgia, Moons, Karel GM

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GetReal in network meta-analysis: a review of the methodology von Efthimiou, Orestis, Debray, Thomas P. A., van Valkenhoef, Gert, Trelle, Sven, Panayidou, Klea, Moons, Karel G. M., Reitsma, Johannes B., Shang, Aijing, Salanti, Georgia

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Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE von Jolani, Shahab, Debray, Thomas P. A., Koffijberg, Hendrik, van Buuren, Stef, Moons, Karel G. M.

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Individual participant data meta-analyses should not ignore clustering von Abo-Zaid, Ghada, Guo, Boliang, Deeks, Jonathan J, Debray, Thomas P.A, Steyerberg, Ewout W, Moons, Karel G.M, Riley, Richard David

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Statistical approaches to identify subgroups in meta-analysis of individual participant data: a simulation study von Belias, Michail, Rovers, Maroeska M, Reitsma, Johannes B, Debray, Thomas P A, IntHout, Joanna

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Handling missing predictor values when validating and applying a prediction model to new patients von Hoogland, Jeroen, Barreveld, Marit, Debray, Thomas P. A., Reitsma, Johannes B., Verstraelen, Tom E., Dijkgraaf, Marcel G. W., Zwinderman, Aeilko H.

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