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양적 형질의 유전적 관련성 연구에서 치료 효과를 보정하기 위한 통계학적 방법의 비교

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dc.contributor.author박성하-
dc.contributor.author송기준-
dc.contributor.author장양수-
dc.contributor.author한경화-
dc.date.accessioned2015-04-24T17:02:21Z-
dc.date.available2015-04-24T17:02:21Z-
dc.date.issued2009-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/104643-
dc.description.abstractObjective: This paper aims to compare the performance of regression-based statistical approaches that were currently used or advocated to adjust a treatment effect. Methods: The six methods used to compare their relative performance were: excluding treated individuals from data, no adjustment for treatment effect, modelling treatment as a covariate(indicator variable), non-parametric adjustment of treatment, adding a constant value to measurements for treated individuals, and censored normal regression. We applied these methods to real genetic and clinical data from Yonsei cardiovascular genome center to demonstrate a pattern of their behaviour. Results: Two of the adjustment methods were more powerful than other methods for analysis of genetic association with serum lipid profiles. These were: no adjustment to the observed lipid profiles in treated subjects, non-parametric adjustment method based on averaging ordered residuals. Conclusion: Non-parametric adjustment method based on averaging ordered residuals and no adjustment to the observed lipid profiles in treated subjects can effectively adjust the distorting effect of lipid-lowering drug and recover a marked loss in statistical power. Also, in genetic association studies of continuous traits that distortion arising from a treatment effect really matters, we proposed to use the appropriate methods that are more effective and straightforward to implement-
dc.description.statementOfResponsibilityopen-
dc.format.extent53~62-
dc.relation.isPartOfJournal of Korea Society of Endocrinology (대한내분비학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title양적 형질의 유전적 관련성 연구에서 치료 효과를 보정하기 위한 통계학적 방법의 비교-
dc.title.alternativeA comparison of statistical methods for adjusting the treatment effects in genetic association studies of quantitative traits-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentYonsei Biomedical Research Center (연세의생명연구원)-
dc.contributor.googleauthor한경화-
dc.contributor.googleauthor임길섭-
dc.contributor.googleauthor박성하-
dc.contributor.googleauthor장양수-
dc.contributor.googleauthor송기준-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01512-
dc.contributor.localIdA02016-
dc.contributor.localIdA03448-
dc.contributor.localIdA04267-
dc.relation.journalcodeJ01478-
dc.subject.keywordquantitative trait-
dc.subject.keywordgenetic association-
dc.subject.keywordtreatment effect adjustment-
dc.subject.keywordregression-
dc.subject.keywordcensored regression-
dc.contributor.alternativeNamePark, Sung Ha-
dc.contributor.alternativeNameSong, Ki Jun-
dc.contributor.alternativeNameJang, Yang Soo-
dc.contributor.alternativeNameHan, Kyung Hwa-
dc.contributor.affiliatedAuthorPark, Sung Ha-
dc.contributor.affiliatedAuthorSong, Ki Jun-
dc.contributor.affiliatedAuthorJang, Yang Soo-
dc.contributor.affiliatedAuthorHan, Kyung Hwa-
dc.citation.volume34-
dc.citation.number1-
dc.citation.startPage53-
dc.citation.endPage62-
dc.identifier.bibliographicCitationJournal of Korea Society of Endocrinology (대한내분비학회지), Vol.34(1) : 53-62, 2009-
dc.identifier.rimsid52832-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers

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