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Benefits and challenges of generalized linear mixed models are discussed from a practitioner's perspective. SAS code is used to analyze examples in the agricultural and natural resources sciences. Readers should be familiar with standard techniques for normally distributed responses and have experience using SAS or other statistical software.
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