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Activity Number:
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539
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Type:
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Contributed
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Date/Time:
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Thursday, August 10, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #306964 |
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Title:
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Space Time Analyses of Adverse Pregnancy Outcomes in Allegheny County, Pennsylvania
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Author(s):
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M. Abdus Sattar*+
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Companies:
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University of Pittsburgh
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Address:
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226 Shady Ave., Pittsburgh, PA, 15206,
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Keywords:
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empirical Bayesian smoothing ; disparity statistics ; local and global clustering ; null spatial model
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Abstract:
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The main objective of this study is to understand the space-time distribution of adverse pregnancy outcome data obtained from Allegheny County, Pennsylvania. Birth data of the years 1994 to 2001 were obtained from the Allegheny County Health Department. Low Birth Weight (LBW) and Preterm Delivery (PTD) are the key indicators of the adverse pregnancy outcome. In this study, it will be revealed how these indicators have been changing in relation to time and space. Empirical Bayesian Smoothing will be used to reduce the variability in the data, essentially reducing the extreme values more towards the mean of the data set. Disparity statistics will be used to measure the significant spatial differences in the health outcomes. To evaluate the spatial patter, we will use the local and global clustering statistics. Statistical methods will be used for testing the null spatial model.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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