Flaws in the development and validation of a covid-19 prediction model

Flaws in the development and validation of a covid-19 prediction model

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Collins, GS, Riley, RD, van Smeden, M
Μορφή:	Journal article
Γλώσσα:	English
Έκδοση:	Oxford University Press 2020

Παρόμοια τεκμήρια

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Flawed validation of FRAX
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Statistical flaws in the development of a prediction model.
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Stability of clinical prediction models developed using statistical or machine learning methods
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Flawed external validation study of the ADNEX model to diagnose ovarian cancer.
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Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
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Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study
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Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study
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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
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Statistical Primer: Developing and validating a risk prediction model
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Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
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Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
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SSL-TLS security flaws : the CRIME compression attack security flaws
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Flaws of the individual or the system?
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Flawed assets clauses
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Flaw growth and fracture
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Predicting the risk of falls in patients with an indication for antihypertensive treatment: development and validation of the stratify-falls prediction model
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