Diagnostics for Random Coefficient Mixed Models with Unweighted and Weighted Data
نویسندگان
چکیده
1. Overview We present a set of useful diagnostics for checking model assumptions and model fit for a type of mixed model for longitudinal data, random coefficient models. Because of the increasing use of complex sampling designs in longitudinal studies, there is a need for diagnostics that can be used with data with unequal probabilities of selection. In particular, the usual diagnostics, both graphical and quantitative, might give misleading results with weighted data because of the unequal sampling weights. Thus, we also discuss our diagnostics in the context of weighted data.
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