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Activity Number:
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665
- Spatial Methods for Weather, Climate, and Health
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Type:
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Contributed
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Date/Time:
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Thursday, August 3, 2017 : 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 #323902
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View Presentation
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Title:
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Analyzing Mortality Following Breast Cancer Diagnosis in Louisiana SEER Data via a Spatial Accelerated Failure Time Model
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Author(s):
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Shanshan Zhao* and Rachel Carroll and Andrew Lawson
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Companies:
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National Institute of Environmental Health Sciences and National Institute of Environmental Health Sciences and Department of Public Health Sciences, Medical University of South Carolina
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Keywords:
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accelerated failure time model ;
breast cancer mortality ;
spatial frailty ;
temporal frailty ;
survival analysis ;
SEER
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Abstract:
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Previous studies suggest that spatial differences in mortality are present for many types of cancer. In this project, we study the application and benefits of a Bayesian accelerated failure time model with and without spatial frailty terms to model breast cancer mortality following breast cancer diagnosis in 2000-2013 Louisiana SEER data. We also explored how to incorporate temporal frailty. After examination and evaluation, it is clear that spatial and temporal differences in breast cancer mortality exist among the parishes of Louisiana after adjusting for known risk factors. There is evidence to suggest some lowered survival times near locations with less access to care and more poverty. Additionally, the estimated spatial frailties are independent of clinical attributes.
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Authors who are presenting talks have a * after their name.
