Skip Navigation

American Journal of Epidemiology 2005 161(1):36-37; doi:10.1093/aje/kwi004
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Tu, Y.-K.
Right arrow Articles by Gilthorpe, M. S.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Tu, Y.-K.
Right arrow Articles by Gilthorpe, M. S.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Copyright © 2005 by the Johns Hopkins Bloomberg School of Public Health

ORIGINAL CONTRIBUTIONS

Tu et al. Respond to "Barker Meets Simpson"

Yu-Kang Tu1,2 , George T. H. Ellison3, Robert West1 and Mark S. Gilthorpe1

1 Biostatistics Unit, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds, United Kingdom.
2 Leeds Dental Institute, University of Leeds, Leeds, United Kingdom.
3 St. George’s Hospital Medical School, London, United Kingdom.

Received for publication September 22, 2004; accepted for publication September 28, 2004.

The first 10% of the full text of this article appears below.

Weinberg (1) highlights the challenges and pitfalls faced when statistically analyzing data from observational (nonrandomized) studies to explore causal hypotheses. She reminds us that statistically significant associations between variables in such studies can be ambiguous. Extreme caution is required when statistical modeling of data from observational studies is used to infer causality from statistical associations between exposure and outcome variables. When knowledge . . . [Full Text of this Article]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Am J EpidemiolHome page
Y.-K. Tu, G. T. H. Ellison, R. M. West, and M. S. Gilthorpe
TU ET AL. REPLY
Am. J. Epidemiol., August 1, 2005; 162(3): 293 - 293.
[Full Text] [PDF]

Home page
 Am J EpidemiolHome page
M. W. Gillman
RE: "WHY EVIDENCE FOR THE FETAL ORIGINS OF ADULT DISEASE MIGHT BE A STATISTICAL ARTIFACT: THE 'REVERSAL PARADOX' FOR THE RELATION BETWEEN BIRTH WEIGHT AND BLOOD PRESSURE IN LATER LIFE"
Am. J. Epidemiol., August 1, 2005; 162(3): 292 - 292.
[Full Text] [PDF]