Search Results - "Snell, KIE"

Internal-external cross-validation helped to evaluate the generalizability of prediction models in large clustered datasets by Takada, Toshihiko, Nijman, Steven, Denaxas, Spiros, Snell, Kym I.E., Uijl, Alicia, Nguyen, Tri-Long, Asselbergs, Folkert W., Debray, Thomas P.A.

“…To illustrate how to evaluate the need of complex strategies for developing generalizable prediction models in large clustered datasets. We developed eight Cox…”
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Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome by Riley, Richard D., Collins, Gary S., Ensor, Joie, Archer, Lucinda, Booth, Sarah, Mozumder, Sarwar I., Rutherford, Mark J., Smeden, Maarten, Lambert, Paul C., Snell, Kym I. E.

“…Previous articles in Statistics in Medicine describe how to calculate the sample size required for external validation of prediction models with continuous and…”
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Lessons learnt when accounting for competing events in the external validation of time-to-event prognostic models by Ramspek, Chava L, Teece, Lucy, Snell, Kym I E, Evans, Marie, Riley, Richard D, van Smeden, Maarten, van Geloven, Nan, van Diepen, Merel

“…Abstract Background External validation of prognostic models is necessary to assess the accuracy and generalizability of the model to new patients. If models…”
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Individual participant data meta‐analysis for external validation, recalibration, and updating of a flexible parametric prognostic model by Ensor, Joie, Snell, Kym I. E., Debray, Thomas P. A., Lambert, Paul C., Look, Maxime P., Mamas, Mamas A., Moons, Karel G. M., Riley, Richard D.

“…Individual participant data (IPD) from multiple sources allows external validation of a prognostic model across multiple populations. Often this reveals poor…”
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Can risk prediction models help us individualise stillbirth prevention? A systematic review and critical appraisal of published risk models by Townsend, R, Manji, A, Allotey, J, Heazell, AEP, Jorgensen, L, Magee, LA, Mol, BW, Snell, KIE, Riley, RD, Sandall, J, Smith, GCS, Patel, M, Thilaganathan, B, von Dadelszen, P, Thangaratinam, S, Khalil, A

“…Background Stillbirth prevention is an international priority – risk prediction models could individualise care and reduce unnecessary intervention, but their…”
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Development and External Validation of Individualized Prediction Models for Pain Intensity Outcomes in Patients With Neck Pain, Low Back Pain, or Both in Primary Care Settings by Archer, Lucinda, Snell, Kym I E, Stynes, Siobhán, Axén, Iben, Dunn, Kate M, Foster, Nadine E, Wynne-Jones, Gwenllian, van der Windt, Daniëlle A, Hill, Jonathan C

“…Abstract Objective The purpose of this study was to develop and externally validate multivariable prediction models for future pain intensity outcomes to…”
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