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12/3/2014 8:24:00 AM | Browse: 628 | Download: 1129
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Received |
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2014-02-25 11:43 |
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Peer-Review Started |
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2014-02-26 09:54 |
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2014-03-26 15:26 |
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2014-04-02 20:50 |
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Revised |
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2014-05-08 04:43 |
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Second Decision |
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2014-10-29 17:55 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2014-10-29 18:52 |
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Articles in Press |
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2014-10-29 18:52 |
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2014-11-20 09:09 |
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2014-12-02 12:25 |
Category |
Statistics & Probability |
Manuscript Type |
Meta-Analysis |
Article Title |
Meta-analysis of bivariate P values
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Mehmet Kocak |
Funding Agency and Grant Number |
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Corresponding Author |
Mehmet Kocak, PhD, Assistant Professor, Department of Preventive Medicine, University of Tennessee Health Sciences Center, 66 N. Pauline Street Office 626, Memphis, TN 38105, United States. mkocak1@uhtsc.edu
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Key Words |
Meta-analysis; Bivariate P value; Independent experiments; Cell cycle data |
Core Tip |
In meta-analysis of bivariate P value, keeping the inherent paired structure and thus reserving the correlation between the each member of the paired P-values is critical. In this work, we propose a novel meta-analysis technique which does keep this paired structure intact and thus results in much more favorable sensitivity and specificity characteristics compared to the existing method by George and Mudholkar’ (1983), which treats the P value as independent.
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Publish Date |
2014-12-02 12:25 |
Citation |
Kocak M. Meta-analysis of bivariate P values. World J Meta-Anal 2014; 2(4): 179-185 |
URL |
http://www.wjgnet.com/2308-3840/full/v2/i4/179.htm |
DOI |
http://dx.doi.org/10.13105/wjma.v2.i4.179 |
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