Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

JM Reps; Ross Williams; SC You; T Falconer; E Minty; A Callahan; PB Ryan; RW Park; HS Lim; Peter Rijnbeek

doi:10.1186/s12874-020-00991-3

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

JM Reps, Ross Williams, SC You, T Falconer, E Minty, A Callahan, PB Ryan, RW Park, HS Lim, Peter Rijnbeek

Medical Informatics

Research output: Contribution to journal › Article › Academic › peer-review

12 Citations (Scopus)

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Original language	English
Journal	BMC Medical Research Methodology
Volume	20
Issue number	1
DOIs	https://doi.org/10.1186/s12874-020-00991-3
Publication status	Published - 2020

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Reps, JM., Williams, R., You, SC., Falconer, T., Minty, E., Callahan, A., Ryan, PB., Park, RW., Lim, HS., & Rijnbeek, P. (2020). Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Medical Research Methodology, 20(1). https://doi.org/10.1186/s12874-020-00991-3

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author = "JM Reps and Ross Williams and SC You and T Falconer and E Minty and A Callahan and PB Ryan and RW Park and HS Lim and Peter Rijnbeek",

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Reps, JM, Williams, R, You, SC, Falconer, T, Minty, E, Callahan, A, Ryan, PB, Park, RW, Lim, HS & Rijnbeek, P 2020, 'Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation', BMC Medical Research Methodology, vol. 20, no. 1. https://doi.org/10.1186/s12874-020-00991-3

Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. / Reps, JM; Williams, Ross; You, SC et al.

In: BMC Medical Research Methodology, Vol. 20, No. 1, 2020.

Research output: Contribution to journal › Article › Academic › peer-review

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T1 - Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

AU - Reps, JM

AU - Williams, Ross

AU - You, SC

AU - Falconer, T

AU - Minty, E

AU - Callahan, A

AU - Ryan, PB

AU - Park, RW

AU - Lim, HS

AU - Rijnbeek, Peter

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Reps JM, Williams R, You SC, Falconer T, Minty E, Callahan A et al. Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation. BMC Medical Research Methodology. 2020;20(1). doi: 10.1186/s12874-020-00991-3