Olfactory detection has become a science of interest. Seven individuals’ odor detection abilities are explored and an attempt is made to characterize all subjects with one generalized linear mixed effects model. Two methods of fitting the models were used and simulations were conducted to discover which method yielded the best results.
Hall, Sandra; Mayo, Matthew S.; Niu, Xu-Feng; and Walker, James C.
"Generalized Linear Mixed-Effects Models for the Analysis of Odor Detection Data,"
Journal of Modern Applied Statistical Methods: Vol. 6
, Article 25.
Available at: http://digitalcommons.wayne.edu/jmasm/vol6/iss2/25