✦ LIBER ✦

Improved inference for a linear mixed-effects model when the subpopulation effects are clustered

✍ Scribed by Guofen Yan; J. Sedransk

Book ID: 108193552
Publisher: Elsevier Science
Year: 2011
Tongue: English
Weight: 173 KB
Volume: 141
Category: Article
ISSN: 0378-3758
DOI: 10.1016/j.jspi.2011.05.006

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Logistic regression when covariates are

Logistic regression when covariates are random effects from a non-linear mixed model

✍ Rolando De la Cruz; Guillermo Marshall; Fernando A. Quintana 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 230 KB 👁 3 views

Asymptotically Unbiased Inference for a

Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both n and T Are Large

✍ Jinyong Hahn; Guido Kuersteiner 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 166 KB

On summary measures analysis of the line

On summary measures analysis of the linear mixed effects model for repeated measures when data are not missing completely at random

✍ Roderick J. Little; Trivellore Raghunathan 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 139 KB 👁 2 views

Subjects often drop out of longitudinal studies prematurely, yielding unbalanced data with unequal numbers of measures for each subject. A simple and convenient approach to analysis is to develop summary measures for each individual and then regress the summary measures on between-subject covariates