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Am J Epidemiol 2004; 159:228.
Copyright © 2004 by the Johns Hopkins Bloomberg School of Public Health

ORIGINAL CONTRIBUTIONS

Kleinman et al. Respond to "Surveilling Surveillance"

Ken Kleinman1,2,3,4,5 , Ross Lazarus1,6,7 and Richard Platt1,2,3,4,5,6

1 Harvard Medical School, Boston, MA.
2 Harvard Pilgrim Health Care, Boston, MA.
3 Harvard Vanguard Medical Associates, Boston, MA.
4 Eastern Massachusetts Prevention Epicenter, Centers for Disease Control and Prevention, Boston, MA.
5 Center for Education and Research in Therapeutics, HMO Research Network, Boston, MA.
6 Brigham and Women’s Hospital, Boston, MA.
7 University of Sydney School of Public Health, Sydney, Australia.

Received for publication October 28, 2003; accepted for publication November 3, 2003.

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

We thank Professor Waller for his thoughtful and supportive remarks (1) on our article (2), especially for clarifying and elaborating on several points. We have further thoughts along the lines suggested by his comments.

Waller’s comments about the timeliness of reporting are important. Delays in reporting would adversely affect the performance of our model. Before discussing this . . . [Full Text of this Article]


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Related articles in Am. J. Epidemiol.:

A Generalized Linear Mixed Models Approach for Detecting Incident Clusters of Disease in Small Areas, with an Application to Biological Terrorism
Ken Kleinman, Ross Lazarus, and Richard Platt
Am. J. Epidemiol. 2004 159: 217-224. [Abstract] [FREE Full Text]  

Invited Commentary: Surveilling Surveillance—Some Statistical Comments
Lance A. Waller
Am. J. Epidemiol. 2004 159: 225-227. [Extract] [FREE Full Text]