Alternative Estimation for Poisson Counting Process with Application to Study Acute Health Outcomes in Public Health Studies
by
Sabit Cakmak
Health Canada
Coauthors: Brion, V., Rai, S., Goldberg, M, Burnett, R.

Longitudinal measurements of count data are very common in health studies. One of the limitations of time series studies is that they do not provide information on longitudinal changes in health status and whether or not health status is modified by air pollution. Dewanji and Moolgavkar [2000] have developed an alternative estimation approach to this problem using a Poisson counting process. We propose an alternative procedure using time series approach and compare with the Poisson point process model. We illustrate two procedures through an analysis of data on multiple hospital admissions for congestive heart failure in Montreal to investigate whether air pollution has a differential effect on these event-disease outcomes.

Date received: February 20, 2008

Copyright © 2008 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cawu-04.