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rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
4
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|
pubmed:dateCreated |
1995-7-24
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|
pubmed:abstractText |
We study influence diagnostics for generalized linear models when the true covariates are unobservable but measured with error. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. The magnitude of influence is then assessed via a simulated envelope approach. The proposed diagnostic procedure is illustrated on two examples.
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pubmed:language |
eng
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pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:chemical |
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Dec
|
|
pubmed:issn |
0006-341X
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:volume |
50
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
1117-28
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|
pubmed:dateRevised |
2007-11-15
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|
pubmed:meshHeading |
pubmed-meshheading:7786992-Biometry,
pubmed-meshheading:7786992-Blood Glucose,
pubmed-meshheading:7786992-Diabetes Mellitus,
pubmed-meshheading:7786992-Health Status,
pubmed-meshheading:7786992-Humans,
pubmed-meshheading:7786992-Incidence,
pubmed-meshheading:7786992-Least-Squares Analysis,
pubmed-meshheading:7786992-Mathematics,
pubmed-meshheading:7786992-Models, Statistical,
pubmed-meshheading:7786992-Northern Territory,
pubmed-meshheading:7786992-Oceanic Ancestry Group,
pubmed-meshheading:7786992-Probability,
pubmed-meshheading:7786992-Records as Topic,
pubmed-meshheading:7786992-Regression Analysis,
pubmed-meshheading:7786992-Reproducibility of Results,
pubmed-meshheading:7786992-Sports
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|
pubmed:year |
1994
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|
pubmed:articleTitle |
Influence diagnostics for generalized linear measurement error models.
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pubmed:affiliation |
Faculty of Science, Northern Territory University, Darwin, Australia.
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|
pubmed:publicationType |
Journal Article,
Comparative Study
|
