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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出版年:	BMC Medical Research Methodology
主要な著者:	Lei Li, Matthew A. Rysavy, Georgiy Bobashev, Abhik Das
フォーマット:	論文
言語:	英語
出版事項:	BMC 2024-10-01
主題:	Risk prediction Multicategory outcome Discrimination Calibration Competing risks Preterm infant (limit: 3–10)
オンライン･アクセス:	https://doi.org/10.1186/s12874-024-02389-x