When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation
Submitted: 11 December 2014
Accepted: 11 December 2014
Published: 1 May 2014
Accepted: 11 December 2014
Abstract Views: 1627
PDF: 859
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Office of Information Products and Data Analytics, Centers for Medicare and Medicaid Services, Baltimore, United States.
Department of Statistics, Tamkang University, New Taipei City, Taiwan, Province of China.
Department of Sociology, Center for Social and Demographic Analysis, University at Albany, SUNY, New York, United States.
How to Cite
Shoff, C., Chen, V. Y.-J., & Yang, T.-C. (2014). When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation. Geospatial Health, 8(2), 557–568. https://doi.org/10.4081/gh.2014.45
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