CARRoT: Predicting Categorical and Continuous Outcomes Using One in Ten Rule
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Publisher
The R Foundation
Reference5 articles.
1. Bazarova A, Raseta M (2023). "CARRoT: R-package for predictive modelling by means of regression, adjusted for multiple regularisation methods." _PLoS ONE_, *18(10):e0292597*. .
2. A simulation study of the number of events per variable in logistic regression analysis
3. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions.
4. Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes
5. Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes
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