Details:

Alternative Title:
J R Stat Soc Ser A Stat Soc
Publisher's site:
http://dx.doi.org/10.1111/rssa.12266
Personal Author:
Khan, Diba ; Rossen, Lauren M. ; Hamilton, Brady ; Dienes, Erin ; He, Yulei ; ... More +
Khan, Diba ; Rossen, Lauren M. ; Hamilton, Brady ; Dienes, Erin ; He, Yulei ; Wei, Rong Less -
Description:
The objective of this analysis was to explore temporal and spatial variation in teen birth rates TBRs across counties in the USA, from 2003 to 2012, by using hierarchical Bayesian models. Prior examination of spatiotemporal variation in TBRs has been limited by the reliance on large-scale geographies such as states, because of the potential instability in TBRs at smaller geographical scales such as counties. We implemented hierarchical Bayesian models with space-time interaction terms and spatially structured and unstructured random effects to produce smoothed county level TBR estimates, allowing for examination of spatiotemporal patterns and trends in TBRs at a smaller geographic scale across the USA. The results may help to highlight US counties where TBRs are higher or lower and to inform efforts to reduce birth rates to adolescents in the USA further.
Subjects:
[+]
Bayesian Model Convolution Hierarchical Bayes Method Markov Chain Monte Carlo Methods Small Area Estimation
Source:
J R Stat Soc Ser A Stat Soc. 181(1):35-58.
Pubmed ID:
28603397
Pubmed Central ID:
PMC5464734
Document Type:
Journal Article
Funding:
CC999999/Intramural CDC HHS/United States
Place as Subject:
Unied States
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:4ea447630aa13966a3d8446c8aa5a70359eae1a84a6c1a2dc44defca381b286e
Download URL:
https://stacks.cdc.gov/view/cdc/50375/cdc_50375_DS1.pdf
File Type:

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