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Comparing methods for risk prediction of multicategory outcomes: dichotomized logistic regression vs. multinomial logit regression

Abstract Background Medical outcomes of interest to clinicians may have multiple categories. Researchers face several options for risk prediction of such outcomes, including dichotomized logistic regression and multinomial logit regression modeling. We aimed to compare these methods and provide guid...

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Principais autores: Lei Li, Matthew A. Rysavy, Georgiy Bobashev, Abhik Das
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-10-01
Serier:BMC Medical Research Methodology
Fag:
Risk prediction
Multicategory outcome
Discrimination
Calibration
Competing risks
Preterm infant (limit: 3–10)
Online adgang:https://doi.org/10.1186/s12874-024-02389-x
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