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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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An optimized industry processing technology of peanut tofu and the novel prediction model for suitable peanut varieties
期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 9, 页码: 2340-2351
Authors:
Chen Bing-yu
;
Li Qi-zhai
;
Hu Hui
;
Meng Shi
;
Shah, Faisal
;
Wang Qiang
;
Liu Hong-zhi
Favorite
  |  
View/Download:27/0
  |  
Submit date:2020/09/23
peanut tofu
process
quality
peanut variety selection
evaluation standard
prediction model
Nonparametric estimation of distributions and diagnostic accuracy based on group-tested results with differential misclassification
期刊论文
BIOMETRICS, 2020, 页码: 10
Authors:
Zhang, Wei
;
Liu, Aiyi
;
Li, Qizhai
;
Albert, Paul S.
Favorite
  |  
View/Download:7/0
  |  
Submit date:2020/10/12
coverage probability
diagnostic accuracy
differential misclassification
group testing
integrated absolute bias
integrated mean squared error
rare disease
ROC curves
A cluster-adjusted rank-based test for a clinical trial concerning multiple endpoints with application to dietary intervention assessment
期刊论文
BIOMETRICS, 2019, 卷号: 75, 期号: 3, 页码: 821-830
Authors:
Zhang, Wei
;
Liu, Aiyi
;
Tang, Larry L.
;
Li, Qizhai
Favorite
  |  
View/Download:23/0
  |  
Submit date:2020/01/10
generalized Behrens-Fisher hypothesis
multivariate distributions
nonparametrics
rank statistics
type I errors
power of test
A Powerful Method To Test Associations Between Ordinal Traits and Genotypes
期刊论文
G3-GENES GENOMES GENETICS, 2019, 卷号: 9, 期号: 8, 页码: 2573-2579
Authors:
Wang, Jinjuan
;
Ding, Juan
;
Huang, Shouyou
;
Li, Qizhai
;
Pan, Dongdong
Favorite
  |  
View/Download:21/0
  |  
Submit date:2020/01/10
association study
ordinal phenotype
latent normal variate
generalized estimating equation
M-estimation
A theoretic study of a distance-based regression model
期刊论文
SCIENCE CHINA-MATHEMATICS, 2019, 卷号: 62, 期号: 5, 页码: 979-998
Authors:
Li, Jialu
;
Zhang, Wei
;
Zhang, Sanguo
;
Li, Qizhai
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  |  
View/Download:28/0
  |  
Submit date:2020/01/10
distance-based regression
Euclidean
pseudo F test statistic
Mahalanobis
A powerful test for ordinal trait genetic association analysis
期刊论文
STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2019, 卷号: 18, 期号: 2, 页码: 9
Authors:
Xue, Yuan
;
Wang, Jinjuan
;
Ding, Juan
;
Zhang, Sanguo
;
Li, Qizhai
Favorite
  |  
View/Download:22/0
  |  
Submit date:2020/01/10
ordinal response
power
proportional odds model
response selective sampling
Improved matrix pooling
期刊论文
STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 卷号: 28, 期号: 1, 页码: 211-222
Authors:
Xiong, Wenjun
;
Ding, Juan
;
He, Yuanzhen
;
Li, Qizhai
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  |  
View/Download:25/0
  |  
Submit date:2019/03/05
Matrix pooling
efficiency
group testing
sensitivity
specificity
Economic Transition and Changing Location of Manufacturing Industry in China: A Study of the Yangtze River Delta
期刊论文
SUSTAINABILITY, 2018, 卷号: 10, 期号: 8, 页码: 28
Authors:
Wu, Jiawei
;
Wei, Yehua Dennis
;
Li, Qizhai
;
Yuan, Feng
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  |  
View/Download:29/0
  |  
Submit date:2018/11/16
globalization
industrial location
GW-SSM
Yangtze River Delta
China
A regulatory insertion-deletion polymorphism in the FADS gene cluster influences PUFA and lipid profiles among Chinese adults: a population-based study
期刊论文
AMERICAN JOURNAL OF CLINICAL NUTRITION, 2018, 卷号: 107, 期号: 6, 页码: 867-875
Authors:
Li, Peiqin
;
Zhao, Jing
;
Kothapalli, Kumar S. D.
;
Li, Xiang
;
Li, Hui
;
Han, Yuxuan
;
Mi, Shengquan
;
Zhao, Wenhua
;
Li, Qizhai
;
Zhang, Hong
;
Song, Yiqing
;
Brenna, J. Thomas
;
Gao, Ying
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  |  
View/Download:29/0
  |  
Submit date:2018/07/30
dyslipidemia
gene polymorphism
fatty acid desaturases
insertion-deletion
long-chain polyunsaturated fatty acids
Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions
期刊论文
SCANDINAVIAN JOURNAL OF STATISTICS, 2018, 卷号: 45, 期号: 1, 页码: 1-33
Authors:
Zheng, Gang
;
Xiong, Jinghong
;
Li, Qizhai
;
Xu, Jinfeng
;
Yuan, Ao
;
Gastwirth, Joe L.
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  |  
View/Download:24/0
  |  
Submit date:2018/07/30
chi-squared test
Edgeworth expansion
maximin efficiency robust test (MERT)
maximum likelihood estimate
nuisance parameter