Skip Navigation

American Journal of Epidemiology 2004 160(5):505-506; doi:10.1093/aje/kwh216
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 (2)
Right arrowRequest Permissions
Right arrow Disclaimer
Google Scholar
Right arrow Articles by Chaix, B.
Right arrow Articles by Chauvin, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Chaix, B.
Right arrow Articles by Chauvin, P.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Copyright © 2004 by the Johns Hopkins Bloomberg School of Public Health

LETTERS TO THE EDITOR

RE: "DETECTING PATTERNS OF OCCUPATIONAL ILLNESS CLUSTERING WITH ALTERNATING LOGISTIC REGRESSIONS APPLIED TO LONGITUDINAL DATA"

Basile Chaix1, Georgiy Bobashev2, Juan Merlo3 and Pierre Chauvin1

1 Research Unit in Epidemiology and Information Sciences, National Institute of Health and Medical Research (INSERM U444), 75012 Paris, France
2 Statistics Research Division, RTI International, Research Triangle Park, NC 27709-2194
3 Department of Community Medicine, Malmö University Hospital, Faculty of Medicine, Lund University, S-205 02 Malmö, Sweden

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

We read with interest the recently published article by Preisser et al. (1) on detecting patterns of occupational illness clustering with alternating logistic regressions. When investigations of variations in health or health-related behavior between areas are conducted, it is highly relevant to measure the extent to which phenomena occur in clusters. Furthermore, doing so is useful to determine whether area-level variations can be . . . [Full Text of this Article]

REFERENCES


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
J. Epidemiol. Community HealthHome page
J. Merlo, B. Chaix, M. Yang, J. Lynch, and L. Rastam
A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon
J Epidemiol Community Health, June 1, 2005; 59(6): 443 - 449.
[Abstract] [Full Text] [PDF]


Home page
Am J EpidemiolHome page
J. S. Preisser
THE FIRST AUTHOR REPLIES
Am. J. Epidemiol., September 1, 2004; 160(5): 506 - 507.
[Full Text] [PDF]