Fixed and Random Effects Selection in Mixed Effects Models
نویسندگان
چکیده
منابع مشابه
Joint variable selection for fixed and random effects in linear mixed-effects models.
It is of great practical interest to simultaneously identify the important predictors that correspond to both the fixed and random effects components in a linear mixed-effects (LME) model. Typical approaches perform selection separately on each of the fixed and random effect components. However, changing the structure of one set of effects can lead to different choices of variables for the othe...
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A common analysis objective is estimation of a realized random effect. The parameter underlying such an effect is usually defined as an average response of a realized unit, such as a cluster mean, domain mean, small area mean, or subject effect. The effects are called random effects since their occurrence is the result of some (actual or assumed) random sampling process. In mixed models, random...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2010
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2010.01463.x