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Articles Published Processes
9/16/2015 2:39:00 PM | Browse: 863 | Download: 1313
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Received |
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2015-04-13 17:58 |
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Peer-Review Started |
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2015-04-18 19:08 |
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To Make the First Decision |
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2015-06-03 15:00 |
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Return for Revision |
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2015-06-08 17:57 |
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Revised |
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2015-06-12 00:17 |
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Second Decision |
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2015-07-29 16:18 |
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Accepted by Journal Editor-in-Chief |
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2015-07-29 23:41 |
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Accepted by Executive Editor-in-Chief |
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2015-08-14 16:35 |
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Articles in Press |
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2015-08-14 16:35 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2015-08-31 20:52 |
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Publish the Manuscript Online |
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2015-09-16 14:40 |
ISSN |
2222-0682 (online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2015. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Endocrinology & Metabolism |
Manuscript Type |
Editorial |
Article Title |
Methodological challenges to control for immortal time bias in addressing drug effects in type 2 diabetes
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Manuscript Source |
Invited Manuscript |
All Author List |
Xi-Lin Yang, Xiao-Xu Huo and Juliana CN Chan |
Funding Agency and Grant Number |
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Corresponding Author |
Dr. Xi-Lin Yang, Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China. yangxilin@tmu.edu.cn |
Key Words |
Pharmacoepidemiological analysis; Immortal time bias; Drug effects; Prevalent drug user bias; Drug indication bias; Type 2 diabetes |
Core Tip |
There are multiple biases in using observational studies to examine treatment effects. These biases include those due to prevalent drug users, immortal time and drug indications that must be taken into consideration. In this regard, we used drugs with proven effects in randomized controlled trials and applied those proposed methods by other groups to estimate their effects in a prospective cohort of patients with type 2 diabetes. Our results highlighted the importance of validating adjustment methods for immortal time and drug use indications before applying them to addressing research questions, so to avoid making erroneous conclusions. |
Publish Date |
2015-09-16 14:40 |
Citation |
Yang XL, Huo XX, Chan JCN. Methodological challenges to control for immortal time bias in addressing drug effects in type 2 diabetes. World J Methodol 2015; 5(3): 122-126 |
URL |
http://www.wjgnet.com/2222-0682/full/v5/i3/122.htm |
DOI |
http://dx.doi.org/10.5662/wjm.v5.i3.122 |
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