Modeling Healthcare Data With Logistic Quantile and Uniform-Based Mixture Polynomial Distributions

Continuous healthcare data often deviate from normality, which can substantially increase the risk of making invalid inferences, given that many inferential statistical procedures rely on normality assumption. To obviate this issue, we propose a new family of non-normal distributions based on a line