Sample size considerations and predictive performance of multinomial logistic prediction models
Valentijn M. T. de Jong; Marinus J.C. Eijkemans; Ben Van Calster; D. Timmerman; Karel G.M. Moons; Ewout W. Steyerberg; Maarten van Smeden · 2019 · Statistics in Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Multinomial Logistic Regression (MLR) has been advocated for developing clinical prediction models that distinguish between three or more unordered outcomes. We present a full-factorial simulation study to examine the predictive…
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Metadata source: OpenAlex · DOI 10.1002/sim.8063