204 citations · 220 across the 8 of their papers we have counts for
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stat.ME2022★ 11 cited
Minimum Sample Size for Developing a Multivariable Prediction Model using Multinomial Logistic Regression
Alexander Pate, Richard D Riley, Gary S Collins +4
Multinomial logistic regression models allow one to predict the risk of a categorical outcome with more than 2 categories. When developing such a model, researchers should ensure t…
stat.ME2022
Imputation and Missing Indicators for handling missing data in the development and implementation of clinical prediction models: a simulation study
Rose Sisk, Matthew Sperrin, Niels Peek +2
Background: Existing guidelines for handling missing data are generally not consistent with the goals of prediction modelling, where missing data can occur at any stage of the mode…