Cargando…

Improving prediction models with new markers: a comparison of updating strategies

BACKGROUND: New markers hold the promise of improving risk prediction for individual patients. We aimed to compare the performance of different strategies to extend a previously developed prediction model with a new marker. METHODS: Our motivating example was the extension of a risk calculator for p...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nieboer, D., Vergouwe, Y., Ankerst, Danna P., Roobol, Monique J., Steyerberg, Ewout W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2016
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5039804/ https://www.ncbi.nlm.nih.gov/pubmed/27678479 http://dx.doi.org/10.1186/s12874-016-0231-2

Ejemplares similares

Validation of prediction models: examining temporal and geographic stability of baseline risk and estimated covariate effects
por: Austin, Peter C., et al.
Publicado: (2017)

Active surveillance: a review of risk-based, dynamic monitoring
por: Nieboer, Daan, et al.
Publicado: (2018)

Personalized schedules for surveillance of low‐risk prostate cancer patients
por: Tomer, Anirudh, et al.
Publicado: (2018)

Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefit
por: Tomer, Anirudh, et al.
Publicado: (2022)

Personalised biopsy schedules based on risk of Gleason upgrading for patients with low‐risk prostate cancer on active surveillance
por: Tomer, Anirudh, et al.
Publicado: (2020)

Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
por: Tomer, Anirudh, et al.
Publicado: (2019)

The calibrated model-based concordance improved assessment of discriminative ability in patient clusters of limited sample size
por: van Klaveren, David, et al.
Publicado: (2019)

Clinical prediction models: a practical approach to development, validation, and updating
por: Steyerberg, Ewout W
Publicado: (2019)

Clinical prediction models: a practical approach to development, validation, and updating
por: Steyerberg, Ewout W
Publicado: (2009)

A Tool for Shared Decision Making on Referral for Prostate Biopsy in the Primary Care Setting: Integrating Risks of Cancer with Life Expectancy
por: Verbeek, Jan F.M., et al.
Publicado: (2019)

Validation and updating of risk models based on multinomial logistic regression
por: Van Calster, Ben, et al.
Publicado: (2017)

Assessing Discriminative Performance at External Validation of Clinical Prediction Models
por: Nieboer, Daan, et al.
Publicado: (2016)

Assessing discriminative ability of risk models in clustered data
por: van Klaveren, David, et al.
Publicado: (2014)

Clinical prediction models : a practical approach to development, validation, and updating /
por: Steyerberg, Ewout W.
Publicado: (2009)

Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models
por: Austin, Peter C, et al.
Publicado: (2013)

Predicting biochemical recurrence and prostate cancer‐specific mortality after radical prostatectomy: comparison of six prediction models in a cohort of patients with screening‐ and clinically detected prostate cancer
por: Remmers, Sebastiaan, et al.
Publicado: (2019)

Assessment of heterogeneity in an individual participant data meta‐analysis of prediction models: An overview and illustration
por: Steyerberg, Ewout W., et al.
Publicado: (2019)

Head-to-head comparison of prostate cancer risk calculators predicting biopsy outcome
por: Pereira-Azevedo, Nuno, et al.
Publicado: (2018)

Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
por: Vickers, Andrew J, et al.
Publicado: (2016)

Performance of IMPACT, CRASH and Nijmegen models in predicting six month outcome of patients with severe or moderate TBI: an external validation study
por: Majdan, Marek, et al.
Publicado: (2014)

Incorporating published univariable associations in diagnostic and prognostic modeling
por: A Debray, Thomas P, et al.
Publicado: (2012)

Comparison of biopsy under‐sampling and annual progression using hidden markov models to learn from prostate cancer active surveillance studies
por: Li, Weiyu, et al.
Publicado: (2020)

The Patient Journey from Randomization to Detection of Prostate Cancer and Death: Results from ERSPC Rotterdam
por: Remmers, Sebastiaan, et al.
Publicado: (2023)

Predictive Value of Updating Framingham Risk Scores with Novel Risk Markers in the U.S. General Population
por: Ferket, Bart S., et al.
Publicado: (2014)

Predictive accuracy of novel risk factors and markers: A simulation study of the sensitivity of different performance measures for the Cox proportional hazards regression model
por: Austin, Peter C, et al.
Publicado: (2015)

Praise to Robust Prediction Modeling in Large Datasets
por: Steyerberg, Ewout W., et al.
Publicado: (2020)

Updating the Rotterdam Prostate Cancer Risk Calculator with Invasive Cribriform and/or Intraductal Carcinoma for Men with a Prior Negative Biopsy
por: Remmers, Sebastiaan, et al.
Publicado: (2021)

Rule-based versus probabilistic selection for active surveillance using three definitions of insignificant prostate cancer
por: Venderbos, Lionne D. F., et al.
Publicado: (2015)

Reporting and Methods in Clinical Prediction Research: A Systematic Review
por: Bouwmeester, Walter, et al.
Publicado: (2012)

Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models
por: Austin, Peter C, et al.
Publicado: (2014)

Comparison of dynamic updating strategies for clinical prediction models
por: Schnellinger, Erin M., et al.
Publicado: (2021)

Clinical prediction model to aid emergency doctors managing febrile children at risk of serious bacterial infections: diagnostic study
por: Nijman, Ruud G, et al.
Publicado: (2013)

A Predictive Model of Postnatal Surgical Intervention in Children With Prenatally Detected Congenital Anomalies of the Kidney and Urinary Tract
por: Vasconcelos, Mariana A., et al.
Publicado: (2019)

Preventing Nerve Function Impairment in Leprosy: Validation and Updating of a Prediction Rule
por: Schuring, Ron P., et al.
Publicado: (2008)

Prediction of pre‐eclampsia‐related complications in women with suspected or confirmed pre‐eclampsia: development and internal validation of clinical prediction model
por: Saleh, L., et al.
Publicado: (2021)

There is no such thing as a validated prediction model
por: Van Calster, Ben, et al.
Publicado: (2023)

Repeatedly measured predictors: a comparison of methods for prediction modeling
por: Welten, Marieke, et al.
Publicado: (2018)

Personalized strategies in population screening for prostate cancer
por: Remmers, Sebastiaan, et al.
Publicado: (2020)

Impact of a Clinical Decision Model for Febrile Children at Risk for Serious Bacterial Infections at the Emergency Department: A Randomized Controlled Trial
por: de Vos-Kerkhof, Evelien, et al.
Publicado: (2015)

Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes
por: Li, Baoyue, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_kuicgdcr9nn59paamossuvbban