MATH - 375. Advanced Statistical Methods

Lecture and Laboratory
0-3 credit(s)
This course introduces students to advanced statistical methods beyond what they have learned in an introductory statistics course. This course aims to empower students to analyze complex datasets that include more variables and address a broader range of research questions. Topics include statistical power, sample size estimation, non-parametric tests, comparisons among several samples, post hoc analysis, variable selection in multiple regression, logistic regression, log-linear regression, inter-rater agreement and intra-rater reliability, introduction to survival analysis and ROC curves. In this course, we will use R to perform statistical analysis and R Markdown to produce documents.

Prerequisite(s): MATH 275 OR BIOL 480 OR QBUS 200 OR ATDV 110.
Attribute: ARTS