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Browsing "Department of Statistics & Actuarial Science" by Author zheng, g
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Showing results 1 to 12 of 12
Title
Author(s)
Issue Date
A robust test for multi-ordered 2 × J ordinal contingency tables
Journal:
Statistics and its Interface
Yuan, M
Xu, J
Yang, Y
Zheng, G
2011
Analysis of Genetic Association Studies Incorporating Prior Information of Genetic Models
Journal:
Journal of Agricultural, Biological, and Environmental Statistics
Zheng, G
Zhang, W
Li, Q
Xu, J
Yuan, A
Gastwirth, J
2015
Asymptotic powers for matched trend tests and robust matched trend tests in case-control genetic association studies
Journal:
Computational Statistics and Data Analysis
Zang, Y
Fung, WK
Zheng, G
2010
Bayes Factor Based on the Trend Test Incorporating Hardy–Weinberg Disequilibrium: More Power to Detect Genetic Association
Journal:
Annals of Human Genetics
Xu, J
Yuan, A
Zheng, G
2012
Case-control genome-wide joint association study using semiparametric empirical model and approximate Bayes factor
Journal:
Journal of Statistical Computation and Simulation
Xu, J
Zheng, G
Yuan, A
2013
Detecting case–control expression quantitative trait loci using locally most powerful or maximin robust rank tests
Journal:
Statistics in Medicine
Yuan, A
Xu, J
Yue, Q
Zheng, G
2012
Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions
Journal:
Scandinavian Journal of Statistics: theory and applications
Zheng, G
Xiong, J
Li, Q
Xu, J
Yuan, A
Gastwirth, J
2018
On empirical likelihood statistical functions
Journal:
Journal of Econometrics
Yuan, A
Xu, J
Zheng, G
2014
Root-n estimability of some missing data models
Journal:
Journal of Multivariate Analysis
Yuan, A
Xu, J
Zheng, G
2012
Simple algorithms to calculate asymptotic null distributions of robust tests in case-control genetic association studies in R
Journal:
Journal of Statistical Software
Zang, Y
Fung, WK
Zheng, G
2010
Single marker association analysis for unrelated samples
Journal:
Methods in Molecular Biology
Zheng, G
Xu, J
Yuan, A
Gastwirth, JL
2012
Tail strength to combine two p values: Their correlation cannot be ignored
Journal:
American Journal of Human Genetics
Zang, Y
Fung, WK
Zheng, G
2008
