Skip Navigation


American Journal of Epidemiology Advance Access originally published online on August 12, 2009
American Journal of Epidemiology 2009 170(6):687-694; doi:10.1093/aje/kwp175
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
170/6/687    most recent
kwp175v1
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 PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Platt, R. W.
Right arrow Articles by Cole, S. R.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Platt, R. W.
Right arrow Articles by Cole, S. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Published by the Johns Hopkins Bloomberg School of Public Health 2009.

PRACTICE OF EPIDEMIOLOGY

Time-modified Confounding

Robert W. Platt, Enrique F. Schisterman and Stephen R. Cole

Correspondence to Dr. Robert W. Platt, Montreal Children's Hospital Research Institute, 4060 Ste. Catherine Street West, No. 205, Westmount, QC, Canada H3Z 2Z3 (e-mail: robert.platt{at}mcgill.ca).

Received for publication November 30, 2008. Accepted for publication June 2, 2009.

According to the authors, time-modified confounding occurs when the causal relation between a time-fixed or time-varying confounder and the treatment or outcome changes over time. A key difference between previously described time-varying confounding and the proposed time-modified confounding is that, in the former, the values of the confounding variable change over time while, in the latter, the effects of the confounder change over time. Using marginal structural models, the authors propose an approach to account for time-modified confounding when the relation between the confounder and treatment is modified over time. An illustrative example and simulation show that, when time-modified confounding is present, a marginal structural model with inverse probability-of-treatment weights specified to account for time-modified confounding remains approximately unbiased with appropriate confidence limit coverage, while models that do not account for time-modified confounding are biased. Correct specification of the treatment model, including accounting for potential variation over time in confounding, is an important assumption of marginal structural models. When the effect of confounders on either the treatment or outcome changes over time, time-modified confounding should be considered.

bias (epidemiology); confounding factors (epidemiology); structural model


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
Int J EpidemiolHome page
S. R Cole, R. W Platt, E. F Schisterman, H. Chu, D. Westreich, D. Richardson, and C. Poole
Illustrating bias due to conditioning on a collider
Int. J. Epidemiol., November 19, 2009; (2009) dyp334v1.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.