Resources
Final
Here is the final. Please hand it in by 3/18/05.Homework
homework 1
homework 2
homework 3
homework 4
homework 5
Notes
growth data notes
glmm presentation (pdf)
glmm presentation (open office)
Code
growth data R code
beetle data R code
beetle data R code
horseShoeCrab data R code
horseShoeCrab data
logist model with failed fitting R code
alligator data R code
alligator data fit using Log-linear models R code
mental impairment data
mental impairment data R code
R code for fitting continuous proportions
R code for fitting Bradley Terry model
R code some log-linear models for square contingency
tables
R code for GEE example from class
Sas code for GEE example from class
Shrinkage estimation in SAS
Multinomial GLMM in SAS
Books and Papers
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Begg and Gray paper about individual logistic regressions versus polytomous regression
Prentice and Pike paper with a more rigorous derivation regarding retrospective studies and logistic regression
Hauck and Donner paper about power and Wald test
McCullaugh and Nelder. Generalized Linear Models. Chapman and Hall
Jorgensen. Exponential Dispersion Models. Chapman and Hall
Agresti. Categorical Data Analysis 2nd Edition. Wiley.
Venables and Ripley. Modern Applied Statistics with Splus. Springer.