Venkatesan, P and Srinivasan, R (2008) Bayesian model of HIV/AIDS in India: A spatial analysis. Applied Bayesian Statistical Analysis.
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Abstract
Background: Bayesian models are very aexible enough to incorporate spatial correlation and to !&$jut overall mean ratio when relatively few cases exist whereas our conventional Disease mapping has beral limitation and it requires the Standardization Incidence Ratio which is derived from observed cases to what might be expected from larger population. This study explains the importance and advantage of Bayesian methods in Disease mapping.
Item Type: | Article |
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Uncontrolled Keywords: | bayesian, HIV, AIDS, India |
Subjects: | Tuberculosis > Biostatistics |
Divisions: | Statistics |
Depositing User: | Dr. Rathinasabapati R |
Date Deposited: | 29 Jun 2017 10:37 |
Last Modified: | 29 Jun 2017 10:39 |
URI: | http://eprints.nirt.res.in/id/eprint/883 |
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