BMTRY 711 : Analysis of Categorical Data

DESCRIPTION

This course offers a short review of standard chi-square methods, followed by several special-purpose two-dimensional techniques. Other areas covered include log-linear models, analysis of threedimensional and higher tables, model selection strategies, maximum likelihood and weighted least squares methodologies, logit models, diagnostics, GEE, patterned tables, and treatment of zero cells.

TOPICS:

• Sampling distributions
• Sampling distributions
• One-way classification
• Effects of small expected values
• Symmetry, Linear trend models
• Goodness of fit tests
• 2x2 tables with various sampling schemes
• Fisher's exact, mid-P tests. Delta method
• Several 2x2 tables: CMH
• Measures of association
• General IxJ contingency tables
• IxJ tables with various sampling schemes
• Log-linear models: 2 and 3 way
• Log-linear models: 3 and multi-way
• Log-linear models: 3 and multi-way
• Partial and conditional independence
• Selection strategies
• Linear logistic regression models
• Logistic regression models (contd)
• Diagnostics
• Overdispersion
• Logit models (log-linear equivalence)
• Logit models and Poisson regression
• Association models: R,C,R&C, RC,U,O
• Ordinal and nominal square tables
• Multinomial logit models (PO,AC,CL,CR)