Techniques for the analysis of categorical data; contingency table analysis; logistic regression; Poisson regression; loglinear models; analysis of ordinal data; use of computer software such as SAS or R. ; STAT 408 or equivalent Credits 3. 3 Lecture Hours.
Techniques for the analysis of categorical data; contingency table analysis; logistic regression; Poisson regression; loglinear models; analysis of ordinal data; use of computer software such as SAS or R. ; STAT 408 or equivalent Credits 3. 3 Lecture Hours.
