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A latent class model for obesity

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A latent class model for obesity. / Greene, William; Harris, Mark N.; Hollingsworth, Bruce et al.
In: Economics Letters, Vol. 123, No. 1, 04.2014, p. 1-5.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Greene, W, Harris, MN, Hollingsworth, B & Maitra, P 2014, 'A latent class model for obesity', Economics Letters, vol. 123, no. 1, pp. 1-5. https://doi.org/10.1016/j.econlet.2014.01.004

APA

Greene, W., Harris, M. N., Hollingsworth, B., & Maitra, P. (2014). A latent class model for obesity. Economics Letters, 123(1), 1-5. https://doi.org/10.1016/j.econlet.2014.01.004

Vancouver

Greene W, Harris MN, Hollingsworth B, Maitra P. A latent class model for obesity. Economics Letters. 2014 Apr;123(1):1-5. doi: 10.1016/j.econlet.2014.01.004

Author

Greene, William ; Harris, Mark N. ; Hollingsworth, Bruce et al. / A latent class model for obesity. In: Economics Letters. 2014 ; Vol. 123, No. 1. pp. 1-5.

Bibtex

@article{6ea36d45bb9248fd8194d891d0b07af7,
title = "A latent class model for obesity",
abstract = "We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation.",
keywords = "Latent class, Class membership, Obesity",
author = "William Greene and Harris, {Mark N.} and Bruce Hollingsworth and Pushkar Maitra",
year = "2014",
month = apr,
doi = "10.1016/j.econlet.2014.01.004",
language = "English",
volume = "123",
pages = "1--5",
journal = "Economics Letters",
issn = "0165-1765",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - A latent class model for obesity

AU - Greene, William

AU - Harris, Mark N.

AU - Hollingsworth, Bruce

AU - Maitra, Pushkar

PY - 2014/4

Y1 - 2014/4

N2 - We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation.

AB - We extend the discrete data latent class literature by explicitly defining a latent variable for class membership as a function of both observables and unobservables, thereby allowing the equations defining the class membership and observed outcomes to be correlated. The procedure is then applied to modelling observed obesity outcomes, based upon an underlying ordered probit equation.

KW - Latent class

KW - Class membership

KW - Obesity

U2 - 10.1016/j.econlet.2014.01.004

DO - 10.1016/j.econlet.2014.01.004

M3 - Journal article

VL - 123

SP - 1

EP - 5

JO - Economics Letters

JF - Economics Letters

SN - 0165-1765

IS - 1

ER -