A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls

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A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls. / Petersen, Jørgen Holm.

I: Biometrical Journal, Bind 51, Nr. 4, 2009, s. 697-709.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Petersen, JH 2009, 'A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls', Biometrical Journal, bind 51, nr. 4, s. 697-709. https://doi.org/10.1002/bimj.200800146

APA

Petersen, J. H. (2009). A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls. Biometrical Journal, 51(4), 697-709. https://doi.org/10.1002/bimj.200800146

Vancouver

Petersen JH. A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls. Biometrical Journal. 2009;51(4):697-709. https://doi.org/10.1002/bimj.200800146

Author

Petersen, Jørgen Holm. / A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls. I: Biometrical Journal. 2009 ; Bind 51, Nr. 4. s. 697-709.

Bibtex

@article{bc8f33b072db11df928f000ea68e967b,
title = "A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls",
abstract = "A conceptually simple two-dimensional conditional reference curve is described. The curve gives a decision basis for determining whether a bivariate response from an individual is {"}normal{"} or {"}abnormal{"} when taking into account that a third (conditioning) variable may influence the bivariate response. The reference curve is not only characterized analytically but also by geometric properties that are easily communicated to medical doctors - the users of such curves. The reference curve estimator is completely non-parametric, so no distributional assumptions are needed about the two-dimensional response. An example that will serve to motivate and illustrate the reference is the study of the height/weight distribution of 7-8-year-old Danish school girls born in 1930, 1950, or 1970.",
author = "Petersen, {J{\o}rgen Holm}",
note = "Keywords: Adolescent; Algorithms; Anthropometry; Biometry; Body Height; Body Weight; Data Interpretation, Statistical; Effect Modifiers (Epidemiology); Female; Humans; Reference Values",
year = "2009",
doi = "10.1002/bimj.200800146",
language = "English",
volume = "51",
pages = "697--709",
journal = "Biometrical Journal",
issn = "0323-3847",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "4",

}

RIS

TY - JOUR

T1 - A non-parametric conditional bivariate reference region with an application to height/weight measurements on normal girls

AU - Petersen, Jørgen Holm

N1 - Keywords: Adolescent; Algorithms; Anthropometry; Biometry; Body Height; Body Weight; Data Interpretation, Statistical; Effect Modifiers (Epidemiology); Female; Humans; Reference Values

PY - 2009

Y1 - 2009

N2 - A conceptually simple two-dimensional conditional reference curve is described. The curve gives a decision basis for determining whether a bivariate response from an individual is "normal" or "abnormal" when taking into account that a third (conditioning) variable may influence the bivariate response. The reference curve is not only characterized analytically but also by geometric properties that are easily communicated to medical doctors - the users of such curves. The reference curve estimator is completely non-parametric, so no distributional assumptions are needed about the two-dimensional response. An example that will serve to motivate and illustrate the reference is the study of the height/weight distribution of 7-8-year-old Danish school girls born in 1930, 1950, or 1970.

AB - A conceptually simple two-dimensional conditional reference curve is described. The curve gives a decision basis for determining whether a bivariate response from an individual is "normal" or "abnormal" when taking into account that a third (conditioning) variable may influence the bivariate response. The reference curve is not only characterized analytically but also by geometric properties that are easily communicated to medical doctors - the users of such curves. The reference curve estimator is completely non-parametric, so no distributional assumptions are needed about the two-dimensional response. An example that will serve to motivate and illustrate the reference is the study of the height/weight distribution of 7-8-year-old Danish school girls born in 1930, 1950, or 1970.

U2 - 10.1002/bimj.200800146

DO - 10.1002/bimj.200800146

M3 - Journal article

C2 - 19650052

VL - 51

SP - 697

EP - 709

JO - Biometrical Journal

JF - Biometrical Journal

SN - 0323-3847

IS - 4

ER -

ID: 20196113