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On statistical methods for clustering: A case study on infant mortality, northern Sweden, 1831-1890
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics. (Ageing and Living Conditions)
2012 (English)In: Biodemography and Social Biology, ISSN 1948-5565, E-ISSN 1948-5573, Vol. 58, 173-184 p.Article in journal (Refereed) Published
Abstract [en]

This article considers the interfamily clustering of infant mortality (defined as mortal- ity during the first year of life). We developed and evaluated statistical tools to detect clustering and a measure to quantify excess clustering for nineteenth-century data from Skellefteå, Sweden. The detection was performed using the standard methods of gener- alized linear models and logistic regression. The index of clustering was constructed by comparing the observed numbers of families with specific numbers of deaths to the cor- responding observed numbers, after correcting for explanatory variables. To the best of our knowledge, no clustering index of this kind has ever been created.

Place, publisher, year, edition, pages
Routledge, 2012. Vol. 58, 173-184 p.
National Category
Probability Theory and Statistics
Research subject
Statistics; Statistics
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URN: urn:nbn:se:umu:diva-61338DOI: 10.1080/19485565.2012.720446ISI: 000310960800007OAI: oai:DiVA.org:umu-61338DiVA: diva2:566872
Available from: 2012-11-09 Created: 2012-11-09 Last updated: 2017-12-07Bibliographically approved

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