Skip Navigation


American Journal of Epidemiology Advance Access originally published online on June 20, 2006
American Journal of Epidemiology 2006 164(3):293-294; doi:10.1093/aje/kwj222
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
164/3/293    most recent
kwj222v1
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 arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Baker, A.
Right arrow Articles by Bray, I.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Baker, A.
Right arrow Articles by Bray, I.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

American Journal of Epidemiology Copyright © 2006 by the Johns Hopkins Bloomberg School of Public Health All rights reserved; printed in U.S.A.

Letter to the Editor

THE AUTHORS REPLY

Amy Baker1 and Isabelle Bray2

1 School of Mathematics and Statistics, University of Plymouth, Plymouth PL4 8AA, United Kingdom
2 Department of Social Medicine, University of Bristol, Bristol BS8 2PR, United Kingdom

(e-mail: issy.bray@bristol.ac.uk)

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

We thank Clements et al. (1Go) for their interest in our paper (2Go). Bayesian age-period-cohort models are just one of several alternative approaches to modeling and projecting cancer rates. Strengths of the Bayesian age-period-cohort approach include its flexibility to deal with . . . [Full Text of this Article]


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