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A biostatisitics course at OHSU, one of the top graduate medicine school in USA.
Categorical Data Analysis is the third course in the required sequence for Biostatistics MS and Certificate Program (BSTA 511, 512, 513) and the Epi/Biostat track in the Oregon MPH program (PHPM 525, 526, 527). This course covers topics in categorical data analysis such as cross tabulation statistics, statistics for matched samples, and methods to assess confounding and interaction via stratified tables. Students will learn logistic regression, and relate results back to those found with stratified
analyses. Similar to linear regression in BSTA 512, topics for logistic regression will include parameter interpretation, statistical adjustment, variable selection techniques and model fit assessment. Students will have the opportunity to briefly explore other analysis methods, such as Poisson regression, ordinal logistic regression, etc. Most homework assignments for this course are to be completed using statistical software.
Required Textbooks:
1. Rosner B. Fundamentals of Biostatistics, 7th Ed., Duxbury, CA, 2010.
2. Hosmer DW, Lemeshow S and Sturdivant RX. Applied Logistic Regression, 3rd Edition, Wiley, NJ, 2013.
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