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

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

ग्रंथसूची विवरण
मुख्य लेखकों:	Collins, GS, Riley, RD, van Smeden, M
स्वरूप:	Journal article
भाषा:	English
प्रकाशित:	Oxford University Press 2020

समान संसाधन

COVID-19 prediction models should adhere to methodological and reporting standards
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प्रकाशित: (2020)

Minimum sample size for external validation of a clinical prediction model with a binary outcome
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2021)

Statistical flaws in the development of a prediction model.
द्वारा: Collins, G
प्रकाशित: (2015)

Evaluation of clinical prediction models (part 1): from development to external validation
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Flawed validation of FRAX
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प्रकाशित: (2016)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
द्वारा: Pate, A, और अन्य
प्रकाशित: (2023)

Targeted validation: validating clinical prediction models in their intended population and setting
द्वारा: Sperrin, M, और अन्य
प्रकाशित: (2022)

There are no shortcuts in the development and validation of a COVID‐19 prediction model
द्वारा: Collins, GS, और अन्य
प्रकाशित: (2020)

A prediction model for venous thromboembolism in the intensive care unit: flawed methods may lead to inaccurate predictions
द्वारा: Gerry, S, और अन्य
प्रकाशित: (2023)

Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2021)

Stability of clinical prediction models developed using statistical or machine learning methods
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2023)

Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
द्वारा: Ma, J, और अन्य
प्रकाशित: (2023)

Methodology over metrics: current scientific standards are a disservice to patients and society
द्वारा: Van Calster, B, और अन्य
प्रकाशित: (2021)

Flawed external validation study of the ADNEX model to diagnose ovarian cancer.
द्वारा: Van Calster, B, और अन्य
प्रकाशित: (2016)

Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
द्वारा: Debray, TPA, और अन्य
प्रकाशित: (2023)

A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2020)

Statistical issues in the development of COVID‐19 prediction models
द्वारा: Collins, GS, और अन्य
प्रकाशित: (2020)

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
द्वारा: Debray, TPA, और अन्य
प्रकाशित: (2023)

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
द्वारा: Wynants, L, और अन्य
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Calculating the sample size required for developing a clinical prediction model
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2020)

Developing clinical prediction models when adhering to minimum sample size recommendations: the importance of quantifying bootstrap variability in tuning parameters and predictive performance
द्वारा: Martin, GP, और अन्य
प्रकाशित: (2021)

Minimum sample size for external validation of a clinical prediction model with a continuous outcome
द्वारा: Archer, L, और अन्य
प्रकाशित: (2020)

There is no such thing as a validated prediction model
द्वारा: Ben Van Calster, और अन्य
प्रकाशित: (2023-02-01)

Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study.
द्वारा: Florien S van Royen, और अन्य
प्रकाशित: (2022-01-01)

Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study
द्वारा: Florien S. van Royen, और अन्य
प्रकाशित: (2022-01-01)

Evaluation of clinical prediction models (part 2): how to undertake an external validation study
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2024)

Design flaws in EuroSCORE II.
द्वारा: Collins, G, और अन्य
प्रकाशित: (2013)

FLAWED /
द्वारा: Ahern, Cecelia, 1981-, author 319498
प्रकाशित: (2016)

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
द्वारा: Andaur Navarro, CL, और अन्य
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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
द्वारा: Collins, GS, और अन्य
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Trustworthy or flawed clinical prediction rule?
द्वारा: Anders Granholm, और अन्य
प्रकाशित: (2018-02-01)

Clinical prediction models and the multiverse of madness
द्वारा: Riley, RD, और अन्य
प्रकाशित: (2023)

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb
द्वारा: Snell, KIE, और अन्य
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Statistical flaws of the fitness-fatigue sports performance prediction model
द्वारा: Alexandre Marchal, और अन्य
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Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
द्वारा: Dhiman, P, और अन्य
प्रकाशित: (2023)

Born to fail: flaws in replication design produce intended results
द्वारा: Abraham D. Flaxman, और अन्य
प्रकाशित: (2020-03-01)

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
द्वारा: Jenkins, DA, और अन्य
प्रकाशित: (2021)

Risk, Trust, and Flawed Assumptions: Vaccine Hesitancy During the COVID-19 Pandemic
द्वारा: Omid V. Ebrahimi, और अन्य
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A flawed trial
द्वारा: Abd Razak, Dzulkifli
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Flaw Characteristics of Architectural Glass and Long-Term Strength Prediction Model
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