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.