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Generalized linear models provide a useful tool for analyzing data from quality‐improvement experiments. We discuss why analysis must be done for all the data, not just for summarizing quantities, and show by examples how residuals can be used for model checking. A restricted‐maximum‐likelihood‐type adjustment for the dispersion analysis is developed.
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Lee et al. (1998) studied this question.
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