An intermediate course that covers biostatistical principles and methods for analyzing discrete and continuous multivariate data: correlations, discriminant analysis, factor analysis, multivariate analysis of variance, log-linear models for contingency tables, multilevel modeling, comorbidity and competing risks, and regression methods for multivariate dependent data, such as time series and spatial data. Statistical software is used for data analysis.

Credit Hours: (3)
Prerequisite(s): HLTH 8270 or permission of instructor

Schedule of Classes

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