Latent Variable Models for Teratogenesis Using Multiple Binary Outcomes

Legler, JM; Ryan, LM

Latent Variable Models for Teratogenesis Using Multiple Binary Outcomes

Legler, JM Ryan, LM

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Publication Type:: Journal Article
Citation:: Journal of the American Statistical Association, 1997, 92 (437), pp. 13 - 20
Issue Date:: 1997-03-01

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Field	Value	Language
dc.contributor.author	Legler, JM	en_US
dc.contributor.author	Ryan, LM https://orcid.org/0000-0001-5957-2490	en_US
dc.date.issued	1997-03-01	en_US
dc.identifier.citation	Journal of the American Statistical Association, 1997, 92 (437), pp. 13 - 20	en_US
dc.identifier.issn	0162-1459	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26010
dc.description.abstract	Multiple outcomes are commonly measured in the study of birth defects. The reason is that most teratogens do not cause a single, uniquely defined defect, but rather result in a range of effects, including major malformations, minor anomalies, and deficiencies in birth weight, length and head circumference. The spectrum of effects associated with a particular teratogen is sometimes described as a “syndrome.” In this article we develop a latent variable model to characterize exposure effects on multiple binary outcomes. Not only does the method allow comparisons of control and exposed infants with respect to multiple outcomes, but it also provides a measure of the “severity” of each child's condition. Data from a study of the teratogenic effects of anticonvulsants illustrate our results. © 1997 Taylor & Francis Group, LLC.	en_US
dc.relation.ispartof	Journal of the American Statistical Association	en_US
dc.relation.isbasedon	10.1080/01621459.1997.10473598	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Latent Variable Models for Teratogenesis Using Multiple Binary Outcomes	en_US
dc.type	Journal Article
utslib.citation.volume	437	en_US
utslib.citation.volume	92	en_US
utslib.for	010402 Biostatistics	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1403 Econometrics	en_US
utslib.for	1603 Demography	en_US
dc.location.activity	Deakin University, Geelong
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	437	en_US
pubs.publication-status	Published	en_US
pubs.volume	92	en_US

Abstract:

Multiple outcomes are commonly measured in the study of birth defects. The reason is that most teratogens do not cause a single, uniquely defined defect, but rather result in a range of effects, including major malformations, minor anomalies, and deficiencies in birth weight, length and head circumference. The spectrum of effects associated with a particular teratogen is sometimes described as a “syndrome.” In this article we develop a latent variable model to characterize exposure effects on multiple binary outcomes. Not only does the method allow comparisons of control and exposed infants with respect to multiple outcomes, but it also provides a measure of the “severity” of each child's condition. Data from a study of the teratogenic effects of anticonvulsants illustrate our results. © 1997 Taylor & Francis Group, LLC.

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http://hdl.handle.net/10453/26010