PBHL
5763 – Categorical Data Analysis Resource Page
Zoran
Bursac, Ph.D., M.P.H.
Wednesday
1-4 PM
PBHL
5763 Categorical Data Analysis (S): This course is designed to give students an
overview of statistical methods commonly used for analysis of categorical data.
Some of the topics include binomial and Poisson distributions, analysis of 2x2
tables, Fishers exact test, McNemar test, stratified
analysis, trend analysis and logistic regression. Class activities include
lecture/discussion, group work, analytical assignments and critical literature
reviews.
Prerequisite:
Biostatistics I.
You can order a copy of SAS Learning Edition (LE) at
support.sas.com/rnd/le/
Required course materials:
Access to SAS or
personal copy of SAS LE.
Agresti A. An Introduction to Categorical Data Analysis.
2nd Edition. Wiley, 1996.
Stokes ME, Davis CS, Koch GG. Categorical Data Analysis Using the SAS System.
2nd Edition. SAS
Publishing, 2000.
Other resources:
Agresti A. Categorical Data Analysis. Wiley, 1990.
Hosmer DW, Lemeshow S. Applied Logistic Regression.
Wiley, 2000.
Allison PD. Logistic
Regression Using the SAS System. SAS
Publishing & Wiley, 1999.
Friendly M. Visualizing
Categorical Data. SAS Publishing. 2000.
FREE SAS v8 and v9 OnlineDocs!
Register and use at support.sas.com/documentation/onlinedoc/.
Course handouts, code, and lecture examples
Some
basic statistical definitions and terminology (.doc)
Binomial, Poisson
distribution functions and MLE (.zip)
SAS
PROC FREQ and basic probabilities from 2x2 table (.zip)
SAS PROC FREQ
and measures of association from 2x2 table (.zip)
Chi-square test, Fishers
Exact test, McNemar test (.zip)
2xc and rx2 tables,
residuals, partitioning (.zip)
Helmet and head
injury data analysis assignment (.doc)
Stratified
analysis CMH (.zip)
CMH case
studies work sheet (.doc)
Sieve
diagrams and agreement charts (.zip)
Stratified
analysis assignment (.doc)
Logistic
regression examples (.zip)
Logistic regression –
class handouts, SAS programs and output
Also ICU data modeling and examples for Likelihood ratio and ROC macros (.zip)
Likelihood
ratio macro and ROC comparison + plot macro (.zip)
Ordinal
and nominal logistic regression (.zip)
UIS data analysis assignment
(.zip)