UNIVERSI
TÄ
TS-
BIBLIOTHEK
P
ADERBORN
Anmelden
Menü
Menü
Start
Hilfe
Blog
Weitere Dienste
Neuerwerbungslisten
Fachsystematik Bücher
Erwerbungsvorschlag
Bestellung aus dem Magazin
Fernleihe
Einstellungen
Sprache
Deutsch
Deutsch
Englisch
Farbschema
Hell
Dunkel
Automatisch
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist
gegebenenfalls
nur via VPN oder Shibboleth (DFN-AAI) möglich.
mehr Informationen...
Universitätsbibliothek
Katalog
Suche
Details
Zur Ergebnisliste
Ergebnis 6 von 330834
Datensatz exportieren als...
BibTeX
A simple method for estimating the odds ratio in matched case-control studies with incomplete paired data
Statistics in medicine, 2012-11, Vol.31 (27), p.3299-3312
Miller, Kelly M.
Looney, Stephen W.
2012
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Miller, Kelly M.
Looney, Stephen W.
Titel
A simple method for estimating the odds ratio in matched case-control studies with incomplete paired data
Ist Teil von
Statistics in medicine, 2012-11, Vol.31 (27), p.3299-3312
Ort / Verlag
Chichester, UK: John Wiley & Sons, Ltd
Erscheinungsjahr
2012
Quelle
Wiley Blackwell Single Titles
Beschreibungen/Notizen
Paired data from matched case‐control studies are commonly used to estimate the association between the exposure to a risk factor and the occurrence of a disease. The odds ratio is typically used to quantify this association. Difficulties in estimating the true odds ratio with matched pairs arise, however, when the exposure status is unknown for one of the individuals in one or more pairs. In this article, we propose a simple method for estimating the odds ratio when the sample consists of a combination of complete and incomplete matched pairs; that is, some of the pairs have exposure data for both the case and the control, some of the pairs have exposure data just for the case, and the remaining pairs have exposure data just for the control. This method uses a weighted average of the odds ratio estimator that is most commonly used when the sample consists entirely of complete paired observations and the odds ratio estimator that is most commonly used when the sample consists entirely of unpaired observations. The proposed estimator has simple closed‐form expressions for the estimate of the odds ratio and its approximate variance. We compare our method to existing methods via simulation and show that our method is comparable to or better than the other methods in terms of bias, mean squared error, and confidence interval coverage probability and width. Copyright © 2012 John Wiley & Sons, Ltd.
Sprache
Englisch
Identifikatoren
ISSN: 0277-6715
eISSN: 1097-0258
DOI: 10.1002/sim.5355
Titel-ID: cdi_proquest_miscellaneous_1151034568
Format
–
Schlagworte
Adolescent
,
Adult
,
Anti-Asthmatic Agents - administration & dosage
,
Asthma - drug therapy
,
biased estimation
,
Case-Control Studies
,
Child
,
Child, Preschool
,
Comparative analysis
,
Computer Simulation
,
confidence interval width
,
Correlation analysis
,
coverage probability
,
Data Interpretation, Statistical
,
Estimating techniques
,
Humans
,
mean-squared error
,
Middle Aged
,
Nebulizers and Vaporizers
,
Odds Ratio
,
partially correlated data
,
Risk factors
,
Simulation
,
Young Adult
Weiterführende Literatur
Empfehlungen zum selben Thema automatisch vorgeschlagen von
bX