A prediction model for venous thromboembolism in the intensive care unit: flawed methods may lead to inaccurate predictions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine
Link
https://link.springer.com/content/pdf/10.1186/s13054-023-04778-y.pdf
Reference8 articles.
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3. Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med. 2015;162(1):211–9.
4. Van Calster B, McLernon DJ, van Smeden M, Wynants L, Steyerberg EW, Van Calster B, et al. Calibration: the Achilles heel of predictive analytics. BMC Med. 2019;17:1.
5. van der Ploeg T, Austin PC, Steyerberg EW, van der Ploeg T, Austin PC, Steyerberg EW. Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints. BMC Med Res Methodol. 2014;14(1):1–13.
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1. Nomogram for hospital-acquired venous thromboembolism among patients with cardiovascular diseases;Thrombosis Journal;2024-01-30
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