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

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

Библиографические подробности
Главные авторы:	Collins, GS, Riley, RD, van Smeden, M
Формат:	Journal article
Язык:	English
Опубликовано:	Oxford University Press 2020

Схожие документы

COVID-19 prediction models should adhere to methodological and reporting standards
по: Collins, GS, и др.
Опубликовано: (2020)

Minimum sample size for external validation of a clinical prediction model with a binary outcome
по: Riley, RD, и др.
Опубликовано: (2021)

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

Evaluation of clinical prediction models (part 1): from development to external validation
по: Collins, GS, и др.
Опубликовано: (2024)

Flawed validation of FRAX
по: Collins, G, и др.
Опубликовано: (2016)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
по: Pate, A, и др.
Опубликовано: (2023)

Targeted validation: validating clinical prediction models in their intended population and setting
по: Sperrin, M, и др.
Опубликовано: (2022)

There are no shortcuts in the development and validation of a COVID‐19 prediction model
по: Collins, GS, и др.
Опубликовано: (2020)

A prediction model for venous thromboembolism in the intensive care unit: flawed methods may lead to inaccurate predictions
по: Gerry, S, и др.
Опубликовано: (2023)

Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome
по: Riley, RD, и др.
Опубликовано: (2021)

Stability of clinical prediction models developed using statistical or machine learning methods
по: Riley, RD, и др.
Опубликовано: (2023)

Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review
по: Ma, J, и др.
Опубликовано: (2023)

Methodology over metrics: current scientific standards are a disservice to patients and society
по: Van Calster, B, и др.
Опубликовано: (2021)

Flawed external validation study of the ADNEX model to diagnose ovarian cancer.
по: Van Calster, B, и др.
Опубликовано: (2016)

Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
по: Debray, TPA, и др.
Опубликовано: (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
по: Riley, RD, и др.
Опубликовано: (2020)

Statistical issues in the development of COVID‐19 prediction models
по: Collins, GS, и др.
Опубликовано: (2020)

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
по: Debray, TPA, и др.
Опубликовано: (2023)

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
по: Wynants, L, и др.
Опубликовано: (2020)

Calculating the sample size required for developing a clinical prediction model
по: Riley, RD, и др.
Опубликовано: (2020)

Developing clinical prediction models when adhering to minimum sample size recommendations: the importance of quantifying bootstrap variability in tuning parameters and predictive performance
по: Martin, GP, и др.
Опубликовано: (2021)

Minimum sample size for external validation of a clinical prediction model with a continuous outcome
по: Archer, L, и др.
Опубликовано: (2020)

There is no such thing as a validated prediction model
по: Ben Van Calster, и др.
Опубликовано: (2023-02-01)

Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study.
по: Florien S van Royen, и др.
Опубликовано: (2022-01-01)

Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study
по: Florien S. van Royen, и др.
Опубликовано: (2022-01-01)

Evaluation of clinical prediction models (part 2): how to undertake an external validation study
по: Riley, RD, и др.
Опубликовано: (2024)

Design flaws in EuroSCORE II.
по: Collins, G, и др.
Опубликовано: (2013)

FLAWED /
по: Ahern, Cecelia, 1981-, author 319498
Опубликовано: (2016)

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
по: Andaur Navarro, CL, и др.
Опубликовано: (2022)

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
по: Collins, GS, и др.
Опубликовано: (2021)

Clinical prediction models and the multiverse of madness
по: Riley, RD, и др.
Опубликовано: (2023)

Statistical flaws of the fitness-fatigue sports performance prediction model
по: Alexandre Marchal, и др.
Опубликовано: (2025-01-01)

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb
по: Snell, KIE, и др.
Опубликовано: (2021)

Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
по: Dhiman, P, и др.
Опубликовано: (2023)

Born to fail: flaws in replication design produce intended results
по: Abraham D. Flaxman, и др.
Опубликовано: (2020-03-01)

Risk, Trust, and Flawed Assumptions: Vaccine Hesitancy During the COVID-19 Pandemic
по: Omid V. Ebrahimi, и др.
Опубликовано: (2021-07-01)

Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?
по: Jenkins, DA, и др.
Опубликовано: (2021)

A flawed trial
по: Abd Razak, Dzulkifli
Опубликовано: (2007)

Flaw Characteristics of Architectural Glass and Long-Term Strength Prediction Model
по: Siyi Yi, и др.
Опубликовано: (2024-06-01)

SSL-TLS security flaws : the CRIME compression attack security flaws
по: Peh, Kenneth Hong Wei
Опубликовано: (2020)