A comparison of Bayesian and likelihood-based methods for fitting multilevel models
نویسندگان
چکیده
منابع مشابه
A comparison of Bayesian and likelihood-based methods for fitting multilevel models
We use simulation studies, whose design is realistic for educational and medical research (as well as other fields of inquiry), to compare Bayesian and likelihood-based methods for fitting variance-components (VC) and random-effects logistic regression (RELR) models. The likelihood (and approximate likelihood) approaches we examine are based on the methods most widely used in current applied mu...
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ژورنال
عنوان ژورنال: Bayesian Analysis
سال: 2006
ISSN: 1936-0975
DOI: 10.1214/06-ba117