Two-Hour Statistics Workshop: Analysis of Categorical Data Using Generalized Models
Monday, August 1, evening (exact time TBA)
The workshop by Dr. Fikret Toros Isik, Research Associate Professor of Quantitative Genetics, NCSU Cooperative Tree Improvement Program (TreeImprovement.org), will cover basic theory of generalized linear mixed models and show applications with SAS GLIMMIX procedure and ASReml software. Such models are frequently used for binary, count, and categorical data collected from inoculation or field experiments to test differences between group means, decompose observed variance into genetics and environmental causes, and predict breeding values.
The topics of the miniworkshop will include estimation of heritability of categorical traits, checking the assumptions of models, over-dispersion, and the effect of the mean incidence in the data on the validity of the models.
Examples will use data from disease resistance trials:
-  binary data (Diseased, no-diseased from greenhouse inoculations);
- and  count data.
If attending, please check the box on the registration form to ensure space availability.