A comparison of univariate and multivariate multilevel models for repeated measures of use of antenatal care in Uttar Pradesh

Griffiths, PL; Brown, JJ; Smith, PWF

A comparison of univariate and multivariate multilevel models for repeated measures of use of antenatal care in Uttar Pradesh

Griffiths, PL Brown, JJ

Smith, PWF

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Publication Type:: Journal Article
Citation:: Journal of the Royal Statistical Society. Series A: Statistics in Society, 2004, 167 (4), pp. 597 - 661
Issue Date:: 2004-01-01

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Field	Value	Language
dc.contributor.author	Griffiths, PL	en_US
dc.contributor.author	Brown, JJ https://orcid.org/0000-0002-7535-2874	en_US
dc.contributor.author	Smith, PWF	en_US
dc.date.issued	2004-01-01	en_US
dc.identifier.citation	Journal of the Royal Statistical Society. Series A: Statistics in Society, 2004, 167 (4), pp. 597 - 661	en_US
dc.identifier.issn	0964-1998	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27970
dc.description.abstract	We compare two different multilevel modelling approaches to the analysis of repeated measures data to assess the effect of mother level characteristics on women's use of prenatal care services in Uttar Pradesh, India. We apply univariate multilevel models to our data and find that the model assumptions are severely violated and the parameter estimates are not stable, particularly for the mother level random effect. To overcome this we apply a multivariate multilevel model. The correlation structure shows that, once the decision has been made regarding use of antenatal care by the mother for her first observed birth in the data, she does not tend to change this decision for higher order births.	en_US
dc.relation.ispartof	Journal of the Royal Statistical Society. Series A: Statistics in Society	en_US
dc.relation.isbasedon	10.1111/j.1467-985X.2004.00602.x	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	A comparison of univariate and multivariate multilevel models for repeated measures of use of antenatal care in Uttar Pradesh	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	167	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1403 Econometrics	en_US
utslib.for	1603 Demography	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	167	en_US

Abstract:

We compare two different multilevel modelling approaches to the analysis of repeated measures data to assess the effect of mother level characteristics on women's use of prenatal care services in Uttar Pradesh, India. We apply univariate multilevel models to our data and find that the model assumptions are severely violated and the parameter estimates are not stable, particularly for the mother level random effect. To overcome this we apply a multivariate multilevel model. The correlation structure shows that, once the decision has been made regarding use of antenatal care by the mother for her first observed birth in the data, she does not tend to change this decision for higher order births.

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http://hdl.handle.net/10453/27970