Linked Life Data

17563169

Source:http://linkedlifedata.com/resource/pubmed/id/17563169

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2007-6-12
pubmed:abstractText
In this article, the authors have 2 aims. First, hierarchical, nonhierarchical, and nonstandard log-linear models are defined. Second, application scenarios are presented for nonhierarchical and nonstandard models, with illustrations of where these scenarios can occur. Parameters can be interpreted in regard to their formal meaning and in regard to their magnitude. The interpretation of the meaning of parameters is the main focus of this article. Design matrices are used to describe the hypotheses tested in models and to illustrate cases in which parameters are interpretable. Also, design matrices are used to show where and how nonstandard models differ from standard hierarchical models. Coding schemes are discussed, in particular, dummy coding and effects coding. Data examples are given with data and models discussed in the literature.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1082-989X
pubmed:author
pubmed:copyrightInfo
Copyright 2007 APA, all rights reserved.
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
139-56
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Application scenarios for nonstandard log-linear models.
pubmed:affiliation
Department of Statistics and Mathematics, Vienna University of Economics and Business Administration, Vienna, Austria. patrick.mair@wu-wien.ac.at
pubmed:publicationType
Journal Article