Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions
文献类型:期刊论文
作者 | Zheng, Gang1; Xiong, Jinghong2; Li, Qizhai2![]() |
刊名 | SCANDINAVIAN JOURNAL OF STATISTICS
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出版日期 | 2018-03-01 |
卷号 | 45期号:1页码:1-33 |
关键词 | chi-squared test Edgeworth expansion maximin efficiency robust test (MERT) maximum likelihood estimate nuisance parameter |
ISSN号 | 0303-6898 |
DOI | 10.1111/sjos.12283 |
英文摘要 | The asymptotic distributions of many classical test statistics are normal. The resulting approximations are often accurate for commonly used significance levels, 0.05 or 0.01. In genome-wide association studies, however, the significance level can be as low as 1x10(-7), and the accuracy of the p-values can be challenging. We study the accuracies of these small p-values are using two-term Edgeworth expansions for three commonly used test statistics in GWAS. These tests have nuisance parameters not defined under the null hypothesis but estimable. We derive results for this general form of testing statistics using Edgeworth expansions, and find that the commonly used score test, maximin efficiency robust test and the chi-squared test are second order accurate in the presence of the nuisance parameter, justifying the use of the p-values obtained from these tests in the genome-wide association studies. |
资助项目 | Special National Key Research and Development Plan[2016YFD0400206] ; Breakthrough Project of Strategic Priority Program of the Chinese Academy of Sciences[XDB13040600] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences |
WOS研究方向 | Mathematics |
语种 | 英语 |
WOS记录号 | WOS:000424656000001 |
出版者 | WILEY |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/29730] ![]() |
专题 | 系统科学研究所 |
通讯作者 | Yuan, Ao |
作者单位 | 1.NHLBI, Off Biostat Res, Bldg 10, Bethesda, MD 20892 USA 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Univ Hong Kong, Dept Stat & Actuarial Sci, Pokfulam, Hong Kong, Peoples R China 4.Georgetown Univ, Dept Biostat Bioinformat & Biomath, Washington, DC 20057 USA 5.George Washington Univ, Dept Stat, Washington, DC 20052 USA |
推荐引用方式 GB/T 7714 | Zheng, Gang,Xiong, Jinghong,Li, Qizhai,et al. Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions[J]. SCANDINAVIAN JOURNAL OF STATISTICS,2018,45(1):1-33. |
APA | Zheng, Gang,Xiong, Jinghong,Li, Qizhai,Xu, Jinfeng,Yuan, Ao,&Gastwirth, Joe L..(2018).Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions.SCANDINAVIAN JOURNAL OF STATISTICS,45(1),1-33. |
MLA | Zheng, Gang,et al."Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions".SCANDINAVIAN JOURNAL OF STATISTICS 45.1(2018):1-33. |
入库方式: OAI收割
来源:数学与系统科学研究院
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