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ST 544 Applied Categorical Data Analysis
This course focuses on the concepts, methods, and models used to analyze categorical data, particularly contingency tables, count data and binary/binomial type of data. The topics covered include Pearson Chi-squared independence test for contingency tables, measures of marginal and conditional associations, small-sample inference, logistic regression models for independent binary/binomial data and many extended models for correlated binary/binomial data including matched data and longitudinal data. The course emphasizes the implementation of methods/models using SAS and the interpretation of the results from the output.
Typically offered in Fall only
Statistics (PhD)
/graduate/sciences/statistics/statistics-phd/
1 Unless student has taken ST聽542 Statistical Practice 2 A 500-level or 700-level course in either statistics or another department with material relevant to the student鈥檚 plan of work. Examples include ST聽520 , ST聽531 , ST聽533 , ST聽534 , ST聽537 , ST聽540 , 厂罢听544 , ST聽546 / MA聽546 , ST聽563 , ST聽721 ,聽 ST聽732 , ST聽733 , ST聽740 , ST聽745 , ST聽746 , ST聽747 / MA聽747 , and聽 ST聽790 3 Additional courses may include聽 ST聽801 ,聽 ST聽895 聽and courses taken from a Master of Statistics or Master of Science in Statistics degree at NCSU.