Cargando…

Decision curve analysis: confidence intervals and hypothesis testing for net benefit

BACKGROUND: A number of recent papers have proposed methods to calculate confidence intervals and p values for net benefit used in decision curve analysis. These papers are sparse on the rationale for doing so. We aim to assess the relation between sampling variability, inference, and decision-analy...

Descripción completa

Detalles Bibliográficos
Autores principales:	Vickers, Andrew J., Van Claster, Ben, Wynants, Laure, Steyerberg, Ewout W.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243069/ https://www.ncbi.nlm.nih.gov/pubmed/37277840 http://dx.doi.org/10.1186/s41512-023-00148-y

Ejemplares similares

Confidence bands and hypothesis tests for hit enrichment curves
por: Ash, Jeremy R, et al.
Publicado: (2022)

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

A simple, step-by-step guide to interpreting decision curve analysis
por: Vickers, Andrew J., et al.
Publicado: (2019)

Confidence intervals for rate ratios between geographic units
por: Zhu, Li, et al.
Publicado: (2016)

Generating confidence intervals on biological networks
por: Thorne, Thomas, et al.
Publicado: (2007)

fdrci: FDR confidence interval selection and adjustment for large-scale hypothesis testing
por: Millstein, Joshua, et al.
Publicado: (2022)

Using the weighted area under the net benefit curve for decision curve analysis
por: Talluri, Rajesh, et al.
Publicado: (2016)

PCA-based bootstrap confidence interval tests for gene-disease association involving multiple SNPs
por: Peng, Qianqian, et al.
Publicado: (2010)

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

Estimating confidence intervals in predicted responses for oscillatory biological models
por: St John, Peter C, et al.
Publicado: (2013)

Likelihood based observability analysis and confidence intervals for predictions of dynamic models
por: Kreutz, Clemens, et al.
Publicado: (2012)

Predictive analytics in health care: how can we know it works?
por: Van Calster, Ben, et al.
Publicado: (2019)

Genome sequence-based species delimitation with confidence intervals and improved distance functions
por: Meier-Kolthoff, Jan P, et al.
Publicado: (2013)

Confidence reports in decision-making with multiple alternatives violate the Bayesian confidence hypothesis
por: Li, Hsin-Hung, et al.
Publicado: (2020)

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

Identifying geographic areas with high disease rates: when do confidence intervals for rates and a disease cluster detection method agree?
por: Rosychuk, Rhonda J
Publicado: (2006)

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)

Calibration: the Achilles heel of predictive analytics
por: Van Calster, Ben, et al.
Publicado: (2019)

Sequential analysis: tests and confidence intervals
por: Siegmund, David
Publicado: (1985)

Predicting target profiles with confidence as a service using docking scores
por: Ahmed, Laeeq, et al.
Publicado: (2020)

HOW CONFIDENT IS THE CONFIDENCE INTERVAL
por: Egbuchulem, K.I.
Publicado: (2022)

How confidence intervals become confusion intervals
por: McCormack, James, et al.
Publicado: (2013)

Decision curve analysis revisited: overall net benefit, relationships to ROC curve analysis, and application to case-control studies
por: Rousson, Valentin, et al.
Publicado: (2011)

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

High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow
por: Ozik, Jonathan, et al.
Publicado: (2018)

Applying the net-benefit framework for assessing cost-effectiveness of interventions towards universal health coverage
por: Hounton, Sennen, et al.
Publicado: (2012)

Three myths about risk thresholds for prediction models
por: Wynants, Laure, et al.
Publicado: (2019)

The fallacy of placing confidence in confidence intervals
por: Morey, Richard D., et al.
Publicado: (2015)

An inferential framework for biological network hypothesis tests
por: Yates, Phillip D, et al.
Publicado: (2013)

Hypothesis testing for evaluating a multimodal pattern recognition framework applied to speaker detection
por: Besson, Patricia, et al.
Publicado: (2008)

Determining sample size for progression criteria for pragmatic pilot RCTs: the hypothesis test strikes back!
por: Lewis, M., et al.
Publicado: (2021)

SITAR—a useful instrument for growth curve analysis
por: Cole, Tim J, et al.
Publicado: (2010)

Hypothesis exploration with visualization of variance
por: Parker, Douglass Stott, et al.
Publicado: (2014)

Net benefit of routine urine parameters for urinary tract infection screening: a decision curve analysis
por: Han, Yan-Qiu, et al.
Publicado: (2020)

A novel method for interrogating receiver operating characteristic curves for assessing prognostic tests
por: Thomas, Grégoire, et al.
Publicado: (2017)

Confidence intervals: a useful statistical tool to estimate effect sizes in the real world
por: Patino, Cecilia Maria, et al.
Publicado: (2015)

On the learning benefits of confidence-weighted testing
por: Sparck, Erin M., et al.
Publicado: (2016)

Statistics with confidence: confidence intervals and statistical guidelines
por: Altman, Douglas, et al.
Publicado: (2013)

Varieties of Confidence Intervals
por: Cousineau, Denis
Publicado: (2017)

The parasite clearance curve
por: White, NJ
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_o80olgrlv939ef7qg01g9eia6o