Cargando…

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

BACKGROUND: Clinical prediction models are developed widely across medical disciplines. When predictors in such models are highly collinear, unexpected or spurious predictor-outcome associations may occur, thereby potentially reducing face-validity of the prediction model. Collinearity can be dealt...

Descripción completa

Detalles Bibliográficos
Autores principales:	Leeuwenberg, Artuur M., van Smeden, Maarten, Langendijk, Johannes A., van der Schaaf, Arjen, Mauer, Murielle E., Moons, Karel G. M., Reitsma, Johannes B., Schuit, Ewoud
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751246/ https://www.ncbi.nlm.nih.gov/pubmed/35016734 http://dx.doi.org/10.1186/s41512-021-00115-5

Ejemplares similares

Prediction models for COVID-19 clinical decision making
por: Leeuwenberg, Artuur M, et al.
Publicado: (2020)

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
por: de Hond, Anne A. H., et al.
Publicado: (2022)

Sample size for binary logistic prediction models: Beyond events per variable criteria
por: van Smeden, Maarten, et al.
Publicado: (2018)

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
por: van Smeden, Maarten, et al.
Publicado: (2016)

A generic nomogram for multinomial prediction models: theory and guidance for construction
por: van Smeden, Maarten, et al.
Publicado: (2017)

Dynamics in cardiac surgery: trends in population characteristics and the performance of the EuroSCORE II over time
por: van Dijk, Wouter B, et al.
Publicado: (2023)

National Protocol for Model-Based Selection for Proton Therapy in Head and Neck Cancer
por: Langendijk, Johannes A., et al.
Publicado: (2021)

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
por: Debray, Thomas PA, et al.
Publicado: (2018)

Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review
por: Hudda, Mohammed T., et al.
Publicado: (2023)

A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton Therapy
por: Tambas, Makbule, et al.
Publicado: (2022)

Development of a prediction model for late urinary incontinence, hematuria, pain and voiding frequency among irradiated prostate cancer patients
por: Schaake, Wouter, et al.
Publicado: (2018)

Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients
por: Spiero, I., et al.
Publicado: (2023)

A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
por: Hoogland, Jeroen, et al.
Publicado: (2021)

How to conduct a systematic review and meta-analysis of prognostic model studies
por: Damen, Johanna A.A., et al.
Publicado: (2023)

Impact of provision of cardiovascular disease risk estimates to healthcare professionals and patients: a systematic review
por: Usher-Smith, Juliet A, et al.
Publicado: (2015)

Prognosis and prediction of antibiotic benefit in adults with clinically diagnosed acute rhinosinusitis: an individual participant data meta-analysis
por: Hoogland, Jeroen, et al.
Publicado: (2023)

Prognostic factors for adverse outcomes in patients with COVID-19: a field-wide systematic review and meta-analysis
por: Bellou, Vanesa, et al.
Publicado: (2022)

The need to balance merits and limitations from different disciplines when considering the stepped wedge cluster randomized trial design
por: de Hoop, Esther, et al.
Publicado: (2015)

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
por: Collins, Gary S, et al.
Publicado: (2021)

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement
por: Collins, Gary S., et al.
Publicado: (2015)

Meta-analyses triggered by previous (false-)significant findings: problems and solutions
por: Schuit, Ewoud, et al.
Publicado: (2015)

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
por: Collins, Gary S, et al.
Publicado: (2015)

Triage of frail elderly with reduced exercise tolerance in primary care (TREE). a clustered randomized diagnostic study
por: van Mourik, Yvonne, et al.
Publicado: (2012)

Accounting for treatment use when validating a prognostic model: a simulation study
por: Pajouheshnia, Romin, et al.
Publicado: (2017)

Sample size considerations and predictive performance of multinomial logistic prediction models
por: de Jong, Valentijn M. T., et al.
Publicado: (2019)

Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use
por: Debray, Thomas P. A., et al.
Publicado: (2015)

Replacing physical with virtual genetic tests: The importance of conscious methodological decisions
por: van Dijk, Wouter B, et al.
Publicado: (2020)

Get real in individual participant data (IPD) meta‐analysis: a review of the methodology
por: Debray, Thomas P. A., et al.
Publicado: (2015)

Validation and Modification of a Prediction Model for Acute Cardiac Events in Patients With Breast Cancer Treated With Radiotherapy Based on Three-Dimensional Dose Distributions to Cardiac Substructures
por: van den Bogaard, Veerle A.B., et al.
Publicado: (2017)

Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist
por: Debray, Thomas P A, et al.
Publicado: (2023)

Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
por: Debray, Thomas P A, et al.
Publicado: (2023)

Overdiagnosis across medical disciplines: a scoping review
por: Jenniskens, Kevin, et al.
Publicado: (2017)

Anticipating missing reference standard data when planning diagnostic accuracy studies
por: Naaktgeboren, Christiana A, et al.
Publicado: (2016)

Individual Participant Data Meta-Analysis for a Binary Outcome: One-Stage or Two-Stage?
por: Debray, Thomas P. A., et al.
Publicado: (2013)

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
por: Wynants, Laure, et al.
Publicado: (2020)

Cardiovascular risk prediction models for women in the general population: A systematic review
por: Baart, Sara J., et al.
Publicado: (2019)

Identifying adults with acute rhinosinusitis in primary care that benefit most from antibiotics: protocol of an individual patient data meta-analysis using multivariable risk prediction modelling
por: Venekamp, Roderick P, et al.
Publicado: (2021)

Diagnostic accuracy of conventional or age adjusted D-dimer cut-off values in older patients with suspected venous thromboembolism: systematic review and meta-analysis
por: Schouten, Henrike J, et al.
Publicado: (2013)

Network meta-analyses performed by contracting companies and commissioned by industry
por: Schuit, Ewoud, et al.
Publicado: (2016)

Use of Expert Panels to Define the Reference Standard in Diagnostic Research: A Systematic Review of Published Methods and Reporting
por: Bertens, Loes C. M., et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_9miui9h3rrmeq6bqbpb0hc5dmg