Interpretation of CVD risk predictions in clinical practice: Mission impossible? von Lagerweij, G R, Moons, K G M, de Wit, G A, Koffijberg, H

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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement von Collins, G. S., Reitsma, J. B., Altman, D. G., Moons, K. G. M.

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A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data von Wynants, L, Bouwmeester, W, Moons, K.G.M, Moerbeek, M, Timmerman, D, Van Huffel, S, Van Calster, B, Vergouwe, Y

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External validation of the UK Prospective Diabetes Study (UKPDS) risk engine in patients with type 2 diabetes von van Dieren, S., Peelen, L. M., Nöthlings, U., van der Schouw, Y. T., Rutten, G. E. H. M., Spijkerman, A. M. W., van der A, D. L., Sluik, D., Boeing, H., Moons, K. G. M., Beulens, J. W. J.

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Validation, updating and impact of clinical prediction rules: A review von Toll, D.B, Janssen, K.J.M, Vergouwe, Y, Moons, K.G.M

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Diagnostic and prognostic prediction models von Hendriksen, J. M. T., Geersing, G. J., Moons, K. G. M., Groot, J. A. H.

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Progression to microalbuminuria in type 1 diabetes: development and validation of a prediction rule von Vergouwe, Y, Soedamah-Muthu, S.S, Zgibor, J, Chaturvedi, N, Forsblom, C, Snell-Bergeon, J.K, Maahs, D.M, Groop, P.H, Rewers, M, Orchard, T.J, Fuller, J.H, Moons, K.G.M

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Prediction models for the risk of cardiovascular disease in patients with type 2 diabetes: a systematic review von van Dieren, S, Beulens, J W J, Kengne, A P, Peelen, L M, Rutten, G E H M, Woodward, M, van der Schouw, Y T, Moons, K G M

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Tailoring the implementation of new biomarkers based on their added predictive value in subgroups of individuals von van Giessen, A, Moons, K G M, de Wit, G A, Verschuren, W M M, Boer, J M A, Koffijberg, H

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Updating methods improved the performance of a clinical prediction model in new patients von Janssen, K.J.M, Moons, K.G.M, Kalkman, C.J, Grobbee, D.E, Vergouwe, Y

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Management of superficial venous thrombosis based on individual risk profiles: protocol for the development and validation of three prognostic prediction models in large primary ca... von van Royen, F. S., van Smeden, M., Moons, K. G. M., Rutten, F. H., Geersing, G. J.

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Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement von Collins, Gary S, Reitsma, Johannes B, Altman, Douglas G, Moons, Karel G M

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Exclusion of deep vein thrombosis using the Wells rule in clinically important subgroups: individual patient data meta-analysis von Geersing, G J, Zuithoff, N P A, Kearon, C, Anderson, D R, ten Cate-Hoek, A J, Elf, J L, Bates, S M, Hoes, A W, Kraaijenhagen, R A, Oudega, R, Schutgens, R E G, Stevens, S M, Woller, S C, Wells, P S, Moons, K G M

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Prognosis and prognostic research: Developing a prognostic model von Royston, Patrick, Moons, Karel G M, Altman, Douglas G, Vergouwe, Yvonne

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Prognosis and prognostic research: application and impact of prognostic models in clinical practice von Moons, Karel G M, Altman, Douglas G, Vergouwe, Yvonne, Royston, Patrick

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Polytomous logistic regression analysis could be applied more often in diagnostic research von Biesheuvel, C.J, Vergouwe, Y, Steyerberg, E.W, Grobbee, D.E, Moons, K.G.M

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Validation of the prediction model for inhibitor development in PUPs with severe haemophilia A von Hashemi, S. M., Fischer, K., Moons, K. G. M., van den Berg, H. M.

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External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients von Vergouwe, Yvonne, Moons, Karel G. M., Steyerberg, Ewout W.

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Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement von Collins, G S, Reitsma, J B, Altman, D G, Moons, K G M

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Inter‐ and intra‐observer agreement of intrapartum ST analysis of the fetal electrocardiogram in women monitored by STAN von Westerhuis, MEMH, van Horen, E, Kwee, A, van der Tweel, I, Visser, GHA, Moons, KGM

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