
AbstractModels and estimention procedures are given for linear regression models in discrete distributions when the regression contains both fixed and random effects. The methods are developed for discrete variables with typically a small number of possible outcomes such as occurs in ordinal regression. The method is applied to a problem arising in the comparison of microbiological test methods.
Linear regression; mixed models, Applications of statistics to biology and medical sciences; meta analysis
Linear regression; mixed models, Applications of statistics to biology and medical sciences; meta analysis
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