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STAT 6520 - Advanced Biostatistical Methods
Prerequisites: STAT 6020 and 6160 or permission of instructor. Mathematically rigorous presentation of categorical data analysis methods for univariate and correlated multivariate responses including contingency table analysis, logistic regression, and loglinear models; survival analysis for analyzing time-to-event data including survivor functions, Kaplan-Meier curves, and Cox proportional hazards model; and other health applications of multivariate analysis methods.
3.000 Credit hours

Levels: Graduate
Schedule Types: Lecture

Mathematical Sciences Department

Course Attributes:
College of Basic & Applied

Restrictions:
Must be enrolled in one of the following Levels:     
      Graduate

Prerequisites:
for STAT 6520

General Requirements:
Course or Test: STAT 6020
Minimum Grade of C
May not be taken concurrently. )


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Release: 8.7.2.4