دورية أكاديمية
ON MARGINALIZED MULTILEVEL MODELS AND THEIR COMPUTATION
| العنوان: | ON MARGINALIZED MULTILEVEL MODELS AND THEIR COMPUTATION |
|---|---|
| المؤلفون: | Griswold, Michael E., Zeger, Scott L. |
| المصدر: | Johns Hopkins University, Dept. of Biostatistics Working Papers |
| بيانات النشر: | Collection of Biostatistics Research Archive |
| سنة النشر: | 2004 |
| المجموعة: | Collection of Biostatistics Research Archive (COBRA) |
| مصطلحات موضوعية: | Marginal model, Generalized linear mixed model, Nonlinear mixed model, Latent variable, Random effects, Likelihood inference, Statistical Models |
| الوصف: | Clustered data analysis is characterized by the need to describe both systematic variation in a mean model and cluster-dependent random variation in an association model. Marginalized multilevel models embrace the robustness and interpretations of a marginal mean model, while retaining the likelihood inference capabilities and flexible dependence structures of a conditional association model. Although there has been increasing recognition of the attractiveness of marginalized multilevel models, there has been a gap in their practical application arising from a lack of readily available estimation procedures. We extend the marginalized multilevel model to allow for nonlinear functions in both the mean and association aspects. We then formulate marginal models through conditional specifications to facilitate estimation with mixed model computational solutions already in place. We illustrate this approach on a cerebrovascular deficiency crossover trial. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | unknown |
| العلاقة: | https://biostats.bepress.com/jhubiostat/paper99Test; https://biostats.bepress.com/cgi/viewcontent.cgi?article=1099&context=jhubiostatTest |
| الإتاحة: | https://biostats.bepress.com/jhubiostat/paper99Test https://biostats.bepress.com/cgi/viewcontent.cgi?article=1099&context=jhubiostatTest |
| رقم الانضمام: | edsbas.C0C017C9 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |