Boosting multi-state models

DOI10.1007/s10985-015-9329-9zbMath1356.65030OpenAlexW2135380493WikidataQ40922514 ScholiaQ40922514MaRDI QIDQ291265

Holger Reulen, Thomas Kneib

Publication date: 7 June 2016

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-015-9329-9

zbMATH Keywords

variable selectionboostingmodel choicecross-transition-type effectsmulti-state modelsnonlinear effects

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

An update on statistical boosting in biomedicine

Uses Software

• R
• CRAN
• survival
• mvna
• mstate
• mboost
• gamboostMSM

Cites Work

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• Boosting algorithms: regularization, prediction and model fitting
• Inference for outcome probabilities in multi-state models
• Boosting additive models using component-wise P-splines
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Multi-state models in epidemiology
• Variable selection and model choice in structured survival models
• L₁Penalized Estimation in the Cox Proportional Hazards Model
• Competing Risks and Multistate Models with R
• Variable Selection and Model Choice in Geoadditive Regression Models
• Regression
• Linear Model Selection by Cross-Validation
• Statistical models based on counting processes

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