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Matched samples log...
Matched samples logistic regression in case-control studies with missing values : when to break the matches
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- Hansson, Lisbeth (författare)
- Uppsala universitet,Statistiska institutionen
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- Khamis, Harry J. (författare)
- Statistical Consulting Centre, Wright State University, Dayton, OH, USA
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(creator_code:org_t)
- 2008-03-28
- 2008
- Engelska.
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Ingår i: Statistical Methods in Medical Research. - : SAGE. - 0962-2802 .- 1477-0334. ; 17:6, s. 595-607
- Relaterad länk:
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http://smm.sagepub.c...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- Biostatistics
- Logistic regression
- Case-control studies
- Missing values
- Statistics, computer and systems science
- Statistik, data- och systemvetenskap
- Statistics
- Statistik
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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