Skip Navigation

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 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 arrow Search for citing articles in:
ISI Web of Science (6)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Easton, D.
Right arrow Articles by Willett, W. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Easton, D.
Right arrow Articles by Willett, W. C.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Vol. 152, No. 4 : 393-396
Copyright © 2000 by The Johns Hopkins University School of Hygiene and Public Health


LETTERS TO THE EDITOR

RE: "PRESENTING STATISTICAL UNCERTAINTY IN TRENDS AND DOSE-RESPONSE RELATIONS"

Douglas Easton and Julian Peto

CRC Genetic Epidemiology Unit Strangeways Research Laboratory Worts Causeway Cambridge CB1 8RN, United Kingdom
Section of Epidemiology Institute of Cancer Research 15 Cotswold Road Belmont SM2 5NG, United Kingdom


    INTRODUCTION
 
The recent commentary by Greenland et al. (1Go) criticizes the "floating absolute risk" (FAR) method for presenting uncertainty in estimates of polytomous exposures. However, it then goes on to proose "floating trends," which are exactly the same, to within a constant!

The criticism that Greenland et al. raise of the FAR confidence intervals is that they are not, directly, confidence intervals for the relative risk estimates for each category relative to the baseline category. This is obviously true–they are not meant to be. The whole point of the FAR method is to allow computation of confidence limits for relative risks for any pair of categories. The variance of the log relative risk is obtained by adding the "floating variances" for the two categories, in exactly the same way as one does in, for example, an unpaired t test.

Standard confidence intervals do not provide the same information. This is . . . [Full Text of this Article]


    REFERENCES
 
Sander Greenland, Karin B. Michels, Charles Poole and Walter C. Willett

Department of Epidemiology UCLA School of Public Health 22333 Swenson Drive Topanga, CA 90290
Strangeways Research Laboratory Worts Causeway Cambridge CB1 8RN, United Kingdom
Department of Epidemiology School of Public Health University of North Carolina Chapel Hill, NC 27599-7400
Channing Laboratory Harvard Medical School Boston, MA 02115


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
P. G. Arbogast
Performance of Floating Absolute Risks
Am. J. Epidemiol., September 1, 2005; 162(5): 487 - 490.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
D. Easton, J. Peto, S. Greenland, K. B. Michels, C. Poole, and W. C. Willett
RE: "PRESENTING STATISTICAL UNCERTAINTY IN TRENDS AND DOSE-RESPONSE RELATIONS"
Am. J. Epidemiol., August 15, 2000; 152(4): 393 - 394.
[Full Text] [PDF]