Please use this identifier to cite or link to this item: https://doi.org/10.1002/bimj.200410057
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dc.titleRobust tests for candidate-gene association using case-parents trios with a multi-allelic marker
dc.contributor.authorZheng, G.
dc.contributor.authorChen, Z.
dc.date.accessioned2014-10-28T05:14:48Z
dc.date.available2014-10-28T05:14:48Z
dc.date.issued2004-09
dc.identifier.citationZheng, G., Chen, Z. (2004-09). Robust tests for candidate-gene association using case-parents trios with a multi-allelic marker. Biometrical Journal 46 (5) : 606-611. ScholarBank@NUS Repository. https://doi.org/10.1002/bimj.200410057
dc.identifier.issn03233847
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105339
dc.description.abstractIn case-parents trios design, the association between a multi-allelic candidate-gene and a disease can be detected by using maximum of score tests (max-score) when the mode of inheritance is known. We apply the maximum of the max-score statistics and the maximum of likelihood ratio statistics when the genetic model is unknown and examine their robust properties compared to max-score statistics. The simulation results demonstrate that the two maximum robust tests are more efficacious and robust across all genetic models compared with the three max-score tests. Moreover, in most situations, the maximum of the max-score tests seems to be more powerful than the maximum of the likelihood ratio tests.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1002/bimj.200410057
dc.sourceScopus
dc.subjectGenetic models
dc.subjectMaximum tests
dc.subjectMultiple alleles
dc.subjectPower
dc.subjectRobustness
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1002/bimj.200410057
dc.description.sourcetitleBiometrical Journal
dc.description.volume46
dc.description.issue5
dc.description.page606-611
dc.identifier.isiut000224795100013
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