Application of Prediction Analysis to Cross Classifications of Ordinal Data
Identifieur interne : 003171 ( Main/Exploration ); précédent : 003170; suivant : 003172Application of Prediction Analysis to Cross Classifications of Ordinal Data
Auteurs : Jörg E. Von Eye [États-Unis] ; Jörg E. Brandtst Dter [Allemagne]Source :
- Biometrical Journal [ 0323-3847 ] ; 1988.
English descriptors
Abstract
Prediction analysis (PA) of cross classifications is characterized as a method for the analysis of local prediction hypotheses, that is, hypotheses that link particular predictor states to particular states of criteria. To evaluate the success of a prediction, PA compares the observed with an expected frequency distribution. The latter is estimated under the assumption of independence between predictors and criteria. When predictors of criteria have ordinal categories, the success of a prediction hypothesis is overestimated if there is a regression of the cell frequencies on the ranks of the variable categories. Using the method of log‐linear models, it is shown how ordinal categories can be taken into account in PA. Numerical examples are given from the areas of cognitive development and drug research.
Url:
DOI: 10.1002/bimj.4710300604
Affiliations:
- Allemagne, États-Unis
- Pennsylvanie, Rhénanie-Palatinat
- Trèves (Allemagne), University Park (Pennsylvanie)
- Université d'État de Pennsylvanie, Université de Trèves
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001325
- to stream Istex, to step Curation: 001213
- to stream Istex, to step Checkpoint: 001666
- to stream Main, to step Merge: 003802
- to stream Main, to step Curation: 003171
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Application of Prediction Analysis to Cross Classifications of Ordinal Data</title><author><name sortKey="Von Eye, Jorg E" sort="Von Eye, Jorg E" uniqKey="Von Eye J" first="Jörg E." last="Von Eye">Jörg E. Von Eye</name></author><author><name sortKey="Brandtst Dter, Jorg E" sort="Brandtst Dter, Jorg E" uniqKey="Brandtst Dter J" first="Jörg E." last="Brandtst Dter">Jörg E. Brandtst Dter</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:03D3919DF6D38E626330B223828B1E404DB8A0C1</idno><date when="1988" year="1988">1988</date><idno type="doi">10.1002/bimj.4710300604</idno><idno type="url">https://api.istex.fr/document/03D3919DF6D38E626330B223828B1E404DB8A0C1/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001325</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001325</idno><idno type="wicri:Area/Istex/Curation">001213</idno><idno type="wicri:Area/Istex/Checkpoint">001666</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">001666</idno><idno type="wicri:doubleKey">0323-3847:1988:Von Eye J:application:of:prediction</idno><idno type="wicri:Area/Main/Merge">003802</idno><idno type="wicri:Area/Main/Curation">003171</idno><idno type="wicri:Area/Main/Exploration">003171</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Application of Prediction Analysis to Cross Classifications of Ordinal Data</title><author><name sortKey="Von Eye, Jorg E" sort="Von Eye, Jorg E" uniqKey="Von Eye J" first="Jörg E." last="Von Eye">Jörg E. Von Eye</name><affiliation wicri:level="4"><country>États-Unis</country><placeName><settlement type="city">University Park (Pennsylvanie)</settlement><region type="state">Pennsylvanie</region></placeName><orgName type="university">Université d'État de Pennsylvanie</orgName></affiliation><affiliation><wicri:noCountry code="subField">Trier</wicri:noCountry></affiliation></author><author><name sortKey="Brandtst Dter, Jorg E" sort="Brandtst Dter, Jorg E" uniqKey="Brandtst Dter J" first="Jörg E." last="Brandtst Dter">Jörg E. Brandtst Dter</name><affiliation wicri:level="4"><country>Allemagne</country><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName><orgName type="university">Université de Trèves</orgName></affiliation><affiliation><wicri:noCountry code="subField">Trier</wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="j">Biometrical Journal</title><title level="j" type="abbrev">Biom. J.</title><idno type="ISSN">0323-3847</idno><idno type="eISSN">1521-4036</idno><imprint><publisher>WILEY‐VCH Verlag</publisher><pubPlace>Berlin</pubPlace><date type="published" when="1988">1988</date><biblScope unit="volume">30</biblScope><biblScope unit="issue">6</biblScope><biblScope unit="page" from="651">651</biblScope><biblScope unit="page" to="665">665</biblScope></imprint><idno type="ISSN">0323-3847</idno></series><idno type="istex">03D3919DF6D38E626330B223828B1E404DB8A0C1</idno><idno type="DOI">10.1002/bimj.4710300604</idno><idno type="ArticleID">BIMJ4710300604</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0323-3847</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Log‐linear models</term><term>Ordinal variables</term><term>Prediction analysis</term><term>Prediction success</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Prediction analysis (PA) of cross classifications is characterized as a method for the analysis of local prediction hypotheses, that is, hypotheses that link particular predictor states to particular states of criteria. To evaluate the success of a prediction, PA compares the observed with an expected frequency distribution. The latter is estimated under the assumption of independence between predictors and criteria. When predictors of criteria have ordinal categories, the success of a prediction hypothesis is overestimated if there is a regression of the cell frequencies on the ranks of the variable categories. Using the method of log‐linear models, it is shown how ordinal categories can be taken into account in PA. Numerical examples are given from the areas of cognitive development and drug research.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>États-Unis</li></country><region><li>Pennsylvanie</li><li>Rhénanie-Palatinat</li></region><settlement><li>Trèves (Allemagne)</li><li>University Park (Pennsylvanie)</li></settlement><orgName><li>Université d'État de Pennsylvanie</li><li>Université de Trèves</li></orgName></list><tree><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Von Eye, Jorg E" sort="Von Eye, Jorg E" uniqKey="Von Eye J" first="Jörg E." last="Von Eye">Jörg E. Von Eye</name></region></country><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Brandtst Dter, Jorg E" sort="Brandtst Dter, Jorg E" uniqKey="Brandtst Dter J" first="Jörg E." last="Brandtst Dter">Jörg E. Brandtst Dter</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 003171 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 003171 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Rhénanie
|area= UnivTrevesV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:03D3919DF6D38E626330B223828B1E404DB8A0C1
|texte= Application of Prediction Analysis to Cross Classifications of Ordinal Data
}}
| This area was generated with Dilib version V0.6.31. |  |