Cargando…

A generic nomogram for multinomial prediction models: theory and guidance for construction

BACKGROUND: The use of multinomial logistic regression models is advocated for modeling the associations of covariates with three or more mutually exclusive outcome categories. As compared to a binary logistic regression analysis, the simultaneous modeling of multiple outcome categories using a mult...

Descripción completa

Detalles Bibliográficos
Autores principales:	van Smeden, Maarten, de Groot, Joris AH, Nikolakopoulos, Stavros, Bertens, Loes CM, Moons, Karel GM, Reitsma, Johannes B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460515/ https://www.ncbi.nlm.nih.gov/pubmed/31093539 http://dx.doi.org/10.1186/s41512-017-0010-5

Ejemplares similares

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

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

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)

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

Optimizing the maximum reported cluster size for the multinomial-based spatial scan statistic
por: Moon, Jisu, et al.
Publicado: (2023)

Development and validation of a model to predict the risk of exacerbations in chronic obstructive pulmonary disease
por: Bertens, Loes CM, et al.
Publicado: (2013)

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

Evidence synthesis in prognosis research
por: Debray, Thomas P.A., et al.
Publicado: (2019)

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

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

An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data
por: Wadsworth, W. Duncan, et al.
Publicado: (2017)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
por: Pate, Alexander, et al.
Publicado: (2023)

Multinomial logistic regression approach to haplotype association analysis in population-based case-control studies
por: Chen, Yi-Hau, et al.
Publicado: (2006)

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)

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

Towards an appropriate framework to facilitate responsible inclusion of pregnant women in drug development programs
por: Roes, Kit C. B., et al.
Publicado: (2018)

Incorporating quality assessments of primary studies in the conclusions of diagnostic accuracy reviews: a cross-sectional study
por: Ochodo, Eleanor A, et al.
Publicado: (2014)

A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
por: Li, Mingming, et al.
Publicado: (2020)

A generic method for improving the spatial interoperability of medical and ecological databases
por: Ghenassia, A., et al.
Publicado: (2017)

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)

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

Guidance to best tools and practices for systematic reviews
por: Kolaski, Kat, et al.
Publicado: (2023)

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

SSHscreen and SSHdb, generic software for microarray based gene discovery: application to the stress response in cowpea
por: Coetzer, Nanette, et al.
Publicado: (2010)

A workflow-driven approach to integrate generic software modules in a Trusted Third Party
por: Bialke, Martin, et al.
Publicado: (2015)

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods
por: Leeuwenberg, Artuur M., et al.
Publicado: (2022)

Trial Forge Guidance 3: randomised trials and how to recruit and retain individuals from ethnic minority groups—practical guidance to support better practice
por: Dawson, Shoba, et al.
Publicado: (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
por: Collins, Gary S, et al.
Publicado: (2021)

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

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)

A conditional predictive p-value to compare a multinomial with an overdispersed multinomial in the analysis of T-cell populations
por: Pei, Qinglin, et al.
Publicado: (2014)

Evaluating the impact of prediction models: lessons learned, challenges, and recommendations
por: Kappen, Teus H., et al.
Publicado: (2018)

Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering
por: Franzén, Oscar, et al.
Publicado: (2015)

Data sharing in clinical trials – practical guidance on anonymising trial datasets
por: Keerie, Catriona, et al.
Publicado: (2018)

Practical guidance for the use of indirect calorimetry during COVID 19 pandemic
por: Singer, Pierre, et al.
Publicado: (2020)

Small-study effects and time trends in diagnostic test accuracy meta-analyses: a meta-epidemiological study
por: van Enst, Wynanda Annefloor, et al.
Publicado: (2015)

Guidance on protocol development for EFSA generic scientific assessments
por: More, Simon, et al.
Publicado: (2023)

Multinomial inference on distributed responses in SPM
por: Chumbley, J.R., et al.
Publicado: (2010)

Multinomial analysis of behavior: statistical methods
por: Koster, Jeremy, et al.
Publicado: (2017)

Middle censoring in the multinomial distribution with applications
por: Jammalamadaka, S. Rao, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_jth0lcnmrdoia4tf27qndf2nti