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Matched samples logistic regression in case-control studies with missing values: when to break the matches
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
Statistical Consulting Centre, Wright State University, Dayton, OH, USA.
2008 (English)In: Statistical Methods in Medical Research, ISSN 0962-2802, E-ISSN 1477-0334, Vol. 17, no 6, p. 595-607Article in journal (Refereed) Published
Abstract [en]

Simulated data sets are used to evaluate conditional and unconditionalmaximum likelihood estimation in an individual case-controldesign with continuous covariates when there are different ratesof excluded cases and different levels of other design parameters.The effectiveness of the estimation procedures is measured bymethod bias, variance of the estimators, root mean square error(RMSE) for logistic regression and the percentage of explainedvariation. Conditional estimation leads to higher RMSE thanunconditional estimation in the presence of missing observations,especially for 1:1 matching. The RMSE is higher for the smallerstratum size, especially for the 1:1 matching. The percentageof explained variation appears to be insensitive to missingdata, but is generally higher for the conditional estimationthan for the unconditional estimation. It is particularly goodfor the 1:2 matching design. For minimizing RMSE, a high matchingratio is recommended; in this case, conditional and unconditionallogistic regression models yield comparable levels of effectiveness.For maximizing the percentage of explained variation, the 1:2matching design with the conditional logistic regression modelis recommended.

Place, publisher, year, edition, pages
SAGE , 2008. Vol. 17, no 6, p. 595-607
Keyword [en]
Biostatistics, Logistic regression, Case-control studies, Missing values
National Category
Probability Theory and Statistics
Research subject
Statistics
Identifiers
URN: urn:nbn:se:uu:diva-101061DOI: 10.1177/0962280207082348ISI: 000261943300004OAI: oai:DiVA.org:uu-101061DiVA, id: diva2:211713
Available from: 2009-04-17 Created: 2009-04-17 Last updated: 2018-02-15Bibliographically approved

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Publisher's full texthttp://smm.sagepub.com/cgi/content/abstract/17/6/595

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Hansson, Lisbeth

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