AJPH
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


AJPH First Look, published online ahead of print Jan 31, 2006
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
AJPH.2005.081885v1
96/3/398-a    most recent
Right arrow Submit a response
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
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 Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Leveille, S. G.
Right arrow Articles by Iezzoni, L. I.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Leveille, S. G.
Right arrow Articles by Iezzoni, L. I.
March 2006, Vol 96, No. 3 | American Journal of Public Health 398-399
© 2006 American Public Health Association
DOI: 10.2105/AJPH.2005.081885


LETTER

LEVEILLE ET AL. RESPOND

Suzanne G. Leveille, PhD, Christina C. Wee, MD, MPH and Lisa I. Iezzoni, MD, MSc

The authors are with the Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center and the Department of Medicine, Harvard Medical School, Boston, Mass.

Correspondence: Requests for reprints should be sent to Suzanne Leveille, PhD, Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, 330 Brookline Ave, RO-103,Boston, MA 02215 (e-mail: sleveill@bidmc.harvard.edu).

Because this article has no abstract, we have provided an extract of the first 100 words of the full text and any section headings.

We thank Flegal and her colleagues for their suggestions. As noted in the articles they cite, a number of methods have been proposed for estimating relative risk. There is ongoing debate in the literature about the choice of models and methods to address potential bias in estimates of attributable fractions.1 Measures of attributable risk using the standard formulas must be considered within the limitations of the data and potential biases, as we discussed in our article.

In our analyses, the adjusted odd ratios differed from the unadjusted odds ratios modestly in the earlier waves of the National Health and Nutrition . . . [Full Text]







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the American Public Health Association