On Lange and Ryan's plotting technique for diagnosing non-normality of random effects

Lynn E. Eberly; Lisa M. Thackeray

doi:10.1016/j.spl.2005.05.010

On Lange and Ryan's plotting technique for diagnosing non-normality of random effects

Lynn E. Eberly, Lisa M. Thackeray

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

For linear mixed models, Lange and Ryan's plot [Lange, N., Ryan, L., 1989. Assessing normality in random effects models. Ann. Statist. 17, 624-642] was derived for diagnosing random effect distributions. We show it is sensitive to both non-normality of random effects and mis-specified mean models, and thus may be more useful as a general diagnostic.

Original language	English (US)
Pages (from-to)	77-85
Number of pages	9
Journal	Statistics and Probability Letters
Volume	75
Issue number	2
DOIs	https://doi.org/10.1016/j.spl.2005.05.010
State	Published - Nov 15 2005

Keywords

Diagnostics
Linear mixed models
Random intercept
Random slope

Publisher link

10.1016/j.spl.2005.05.010

Find It

Find It at U of M Libraries

Cite this

@article{b94bd3e34c604a4993f80f8f135da53c,

title = "On Lange and Ryan's plotting technique for diagnosing non-normality of random effects",

abstract = "For linear mixed models, Lange and Ryan's plot [Lange, N., Ryan, L., 1989. Assessing normality in random effects models. Ann. Statist. 17, 624-642] was derived for diagnosing random effect distributions. We show it is sensitive to both non-normality of random effects and mis-specified mean models, and thus may be more useful as a general diagnostic.",

keywords = "Diagnostics, Linear mixed models, Random intercept, Random slope",

author = "Eberly, {Lynn E.} and Thackeray, {Lisa M.}",

year = "2005",

month = nov,

day = "15",

doi = "10.1016/j.spl.2005.05.010",

language = "English (US)",

volume = "75",

pages = "77--85",

journal = "Statistics and Probability Letters",

issn = "0167-7152",

publisher = "Elsevier B.V.",

number = "2",

}

TY - JOUR

T1 - On Lange and Ryan's plotting technique for diagnosing non-normality of random effects

AU - Eberly, Lynn E.

AU - Thackeray, Lisa M.

PY - 2005/11/15

Y1 - 2005/11/15

N2 - For linear mixed models, Lange and Ryan's plot [Lange, N., Ryan, L., 1989. Assessing normality in random effects models. Ann. Statist. 17, 624-642] was derived for diagnosing random effect distributions. We show it is sensitive to both non-normality of random effects and mis-specified mean models, and thus may be more useful as a general diagnostic.

AB - For linear mixed models, Lange and Ryan's plot [Lange, N., Ryan, L., 1989. Assessing normality in random effects models. Ann. Statist. 17, 624-642] was derived for diagnosing random effect distributions. We show it is sensitive to both non-normality of random effects and mis-specified mean models, and thus may be more useful as a general diagnostic.

KW - Diagnostics

KW - Linear mixed models

KW - Random intercept

KW - Random slope

UR - http://www.scopus.com/inward/record.url?scp=27644559510&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27644559510&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2005.05.010

DO - 10.1016/j.spl.2005.05.010

M3 - Article

AN - SCOPUS:27644559510

SN - 0167-7152

VL - 75

SP - 77

EP - 85

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

IS - 2

ER -

On Lange and Ryan's plotting technique for diagnosing non-normality of random effects

Abstract

Keywords

Publisher link

Find It

Other files and links

Fingerprint

Cite this