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A Partially Linear Tree-based Regression Model for Multivariate Outcomes
Yu, Kai
;
Wheeler, William
;
Li, Qizhai
;
Bergen, Andrew W.
; …
- In:
Biometrics
66
(
2010
)
1
,
pp. 89-96
Persistent link: https://www.econbiz.de/10010946990
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2
Genomic Control for Association Studies under Various Genetic Models
Zheng, Gang
;
Freidlin, Boris
;
Li, Zhaohai
;
Gastwirth, …
- In:
Biometrics
61
(
2005
)
1
,
pp. 186-192
Persistent link: https://www.econbiz.de/10010946471
Saved in:
3
A Robust Test for Two-Stage Design in Genome-Wide Association Studies
Kwak, Minjung
;
Joo, Jungnam
;
Zheng, Gang
- In:
Biometrics
65
(
2009
)
4
,
pp. 1288-1295
Persistent link: https://www.econbiz.de/10010946762
Saved in:
4
Comparison of Maximum Statistics for Hypothesis Testing When a Nuisance Parameter Is Present only under the Alternative
Zheng, Gang
;
Chen, Zehua
- In:
Biometrics
61
(
2005
)
1
,
pp. 254-258
Persistent link: https://www.econbiz.de/10010946908
Saved in:
5
Analysis of Ordered Categorical Data: Two Score-Independent Approaches
Zheng, Gang
- In:
Biometrics
64
(
2008
)
4
,
pp. 1276-1279
Persistent link: https://www.econbiz.de/10010947575
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6
Impact of Population Substructure on Trend Tests for Genetic Case–Control Association Studies
Zheng, Gang
;
Li, Zhaohai
;
Gail, Mitchell H.
;
Gastwirth, …
- In:
Biometrics
66
(
2010
)
1
,
pp. 196-204
Persistent link: https://www.econbiz.de/10010947973
Saved in:
7
Improving Power for Testing Genetic Association in Case–Control Studies by Reducing the Alternative Space
Joo, Jungnam
;
Kwak, Minjung
;
Zheng, Gang
- In:
Biometrics
66
(
2010
)
1
,
pp. 266-276
Persistent link: https://www.econbiz.de/10010948078
Saved in:
8
A Robust Genome-Wide Scan Statistic of the Wellcome Trust Case–Control Consortium
Joo, Jungnam
;
Kwak, Minjung
;
Ahn, Kwangmi
;
Zheng, Gang
- In:
Biometrics
65
(
2009
)
4
,
pp. 1115-1122
Persistent link: https://www.econbiz.de/10010948552
Saved in:
9
A Joint Regression Analysis for Genetic Association Studies with Outcome Stratified Samples
Wu, Colin O.
;
Zheng, Gang
;
Kwak, Minjung
- In:
Biometrics
69
(
2013
)
2
,
pp. 417-426
Persistent link: https://www.econbiz.de/10010683871
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