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양적 형질의 유전적 관련성 연구에서 치료 효과를 보정하기 위한 통계학적 방법의 비교
DC Field | Value | Language |
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dc.contributor.author | 박성하 | - |
dc.contributor.author | 송기준 | - |
dc.contributor.author | 장양수 | - |
dc.contributor.author | 한경화 | - |
dc.date.accessioned | 2015-04-24T17:02:21Z | - |
dc.date.available | 2015-04-24T17:02:21Z | - |
dc.date.issued | 2009 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/104643 | - |
dc.description.abstract | Objective: 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.statementOfResponsibility | open | - |
dc.format.extent | 53~62 | - |
dc.relation.isPartOf | Journal of Korea Society of Endocrinology (대한내분비학회지) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | 양적 형질의 유전적 관련성 연구에서 치료 효과를 보정하기 위한 통계학적 방법의 비교 | - |
dc.title.alternative | A comparison of statistical methods for adjusting the treatment effects in genetic association studies of quantitative traits | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Yonsei Biomedical Research Center (연세의생명연구원) | - |
dc.contributor.googleauthor | 한경화 | - |
dc.contributor.googleauthor | 임길섭 | - |
dc.contributor.googleauthor | 박성하 | - |
dc.contributor.googleauthor | 장양수 | - |
dc.contributor.googleauthor | 송기준 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01512 | - |
dc.contributor.localId | A02016 | - |
dc.contributor.localId | A03448 | - |
dc.contributor.localId | A04267 | - |
dc.relation.journalcode | J01478 | - |
dc.subject.keyword | quantitative trait | - |
dc.subject.keyword | genetic association | - |
dc.subject.keyword | treatment effect adjustment | - |
dc.subject.keyword | regression | - |
dc.subject.keyword | censored regression | - |
dc.contributor.alternativeName | Park, Sung Ha | - |
dc.contributor.alternativeName | Song, Ki Jun | - |
dc.contributor.alternativeName | Jang, Yang Soo | - |
dc.contributor.alternativeName | Han, Kyung Hwa | - |
dc.contributor.affiliatedAuthor | Park, Sung Ha | - |
dc.contributor.affiliatedAuthor | Song, Ki Jun | - |
dc.contributor.affiliatedAuthor | Jang, Yang Soo | - |
dc.contributor.affiliatedAuthor | Han, Kyung Hwa | - |
dc.citation.volume | 34 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 53 | - |
dc.citation.endPage | 62 | - |
dc.identifier.bibliographicCitation | Journal of Korea Society of Endocrinology (대한내분비학회지), Vol.34(1) : 53-62, 2009 | - |
dc.identifier.rimsid | 52832 | - |
dc.type.rims | ART | - |
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