Applied Nonparametric Statistics

Catalog description

Pre-requisites: BIOE 6525. This course introduces students to the wide range of useful nonparametric methods applied to public health field. Some of those methods are theoretical, others are computational using software like STATA, or other open-source software. Through interactive lectures and group discussions, students will learn notation of nonparametric inference, empirical probability distribution, Jacknife and Bootstrap methods, Hypothesis testing, Rank test, Friedman test, Mann -Whitney U -test, Kruskal -Wallis test, randomness test, Spearman Rank-order correlation coefficient, Goodness-of-fit and nonparametric regression. This course will consider a modern and classical view of nonparametric statistics. Students are expected to select and apply appropriate non-parametric statistics in public health issue analysis.