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Modelling fertility in rural South Africa with combined nonlinear parametric and semi-parametric methods

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Eyre, Robert W., House, Thomas A., Gómez-Olivé, F. Xavier and Griffiths, Frances (2018) Modelling fertility in rural South Africa with combined nonlinear parametric and semi-parametric methods. Emerging Themes in Epidemiology, 15 (1). 5. doi:10.1186/s12982-018-0073-y ISSN 1742-7622.

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Official URL: http://dx.doi.org/10.1186/s12982-018-0073-y

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Abstract

Central to the study of populations, and therefore to the analysis of the development of countries undergoing major transitions, is the calculation of fertility patterns and their dependence on different variables such as age, education, and socio-economic status. Most epidemiological research on these matters rely on the often unjustified assumption of (generalised) linearity, or alternatively makes a parametric assumption (e.g. for age-patterns).

Item Type: Journal Article
Subjects: H Social Sciences > HB Economic Theory
Divisions: Faculty of Science, Engineering and Medicine > Research Centres > Centre for Complexity Science
Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH): Fertility, Human -- Statistics -- South Africa, Fertility, Human -- Mathematical models -- South Africa
Journal or Publication Title: Emerging Themes in Epidemiology
Publisher: BioMed Central Ltd.
ISSN: 1742-7622
Official Date: 2 March 2018
Dates:
DateEvent
2 March 2018Published
23 January 2018Accepted
Volume: 15
Number: 1
Article Number: 5
DOI: 10.1186/s12982-018-0073-y
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 8 March 2018
Date of first compliant Open Access: 8 March 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/I01358X/1 [EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/N033701/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266

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