Arbeitspapier
Regression calibration for Cox regression under heteroscedastic measurement error: determining risk factors of cardiovascular diseases from error-prone nutritional replication data
For instance nutritional data are often subject to severe measurement error, and an adequate adjustment of the estimators is indispensable to avoid deceptive conclusions. This paper discusses and extends the method of regression calibration to correct for measurement error in Cox regression. Special attention is paid to the modelling of quadratic predictors, the role of heteroscedastic measurement error, and the efficient use of replicated measurements of the surrogates. The method is used to analyze data from the German part of the MONICA cohort study on cardiovascular diseases. The results corroborate the importance of taking into account measurement error carefully.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Paper ; No. 345
- Thema
-
Error-in-variables
replication data
heteroscedastic measurement error in quadratic variables
Cox model
regression calibration
MONICA/KORA study
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Augustin, Thomas
Döring, A.
Rummel, D.
- Ereignis
-
Veröffentlichung
- (wer)
-
Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
- (wo)
-
München
- (wann)
-
2003
- DOI
-
doi:10.5282/ubm/epub.1721
- Handle
- URN
-
urn:nbn:de:bvb:19-epub-1721-0
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Augustin, Thomas
- Döring, A.
- Rummel, D.
- Ludwig-Maximilians-Universität München, Sonderforschungsbereich 386 - Statistische Analyse diskreter Strukturen
Entstanden
- 2003
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