The missing data problem in birth weight percentiles and thresholds for "small-for-gestational-age".
J. Hutcheon, und R. Platt. American journal of epidemiology, 167 (7):
786-92(April 2008)5578<m:linebreak></m:linebreak>JID: 7910653; CIN: Am J Epidemiol. 2008 Apr 1;167(7):793-6; author reply 797-8. PMID: 18343876; 2008/03/14 aheadofprint; ppublish;.
DOI: 10.1093/aje/kwm327
Zusammenfassung
Weight-for-gestational-age charts and definitions of "small-for-gestational-age" based on the distribution of livebirths at a given gestational age have conventionally been used to identify infants whose fetal growth is poor. However, references based on the weights of only livebirths have serious shortcomings at preterm ages due to missing data on the weights of fetuses still in utero, and these missing data introduce considerable bias to etiologic studies of fetal growth restriction. Application of standard epidemiologic approaches for missing data is needed to help produce perinatal weight percentiles that provide unbiased assessment of fetal growth and risks of small-for-gestational-age.
%0 Journal Article
%1 Hutcheon2008
%A Hutcheon, Jennifer A
%A Platt, Robert W
%D 2008
%J American journal of epidemiology
%K BirthWeight EpidemiologicMethods Humans Infant Newborn ReferenceValues SmallforGestationalAge
%N 7
%P 786-92
%R 10.1093/aje/kwm327
%T The missing data problem in birth weight percentiles and thresholds for "small-for-gestational-age".
%U http://www.ncbi.nlm.nih.gov/pubmed/18343882
%V 167
%X Weight-for-gestational-age charts and definitions of "small-for-gestational-age" based on the distribution of livebirths at a given gestational age have conventionally been used to identify infants whose fetal growth is poor. However, references based on the weights of only livebirths have serious shortcomings at preterm ages due to missing data on the weights of fetuses still in utero, and these missing data introduce considerable bias to etiologic studies of fetal growth restriction. Application of standard epidemiologic approaches for missing data is needed to help produce perinatal weight percentiles that provide unbiased assessment of fetal growth and risks of small-for-gestational-age.
%@ 1476-6256; 0002-9262
@article{Hutcheon2008,
abstract = {Weight-for-gestational-age charts and definitions of "small-for-gestational-age" based on the distribution of livebirths at a given gestational age have conventionally been used to identify infants whose fetal growth is poor. However, references based on the weights of only livebirths have serious shortcomings at preterm ages due to missing data on the weights of fetuses still in utero, and these missing data introduce considerable bias to etiologic studies of fetal growth restriction. Application of standard epidemiologic approaches for missing data is needed to help produce perinatal weight percentiles that provide unbiased assessment of fetal growth and risks of small-for-gestational-age.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Hutcheon, Jennifer A and Platt, Robert W},
biburl = {https://www.bibsonomy.org/bibtex/2c58eb2e1223769d65dac5bbcd0caa348/jepcastel},
city = {Department of Epidemiology and Biostatistics, McGill University Faculty of Medicine, Montreal, Quebec, Canada. jennifer.hutcheon@mail.mcgill.ca},
doi = {10.1093/aje/kwm327},
interhash = {74df2c78e361e2ea3e2d0c0a77d122c7},
intrahash = {c58eb2e1223769d65dac5bbcd0caa348},
isbn = {1476-6256; 0002-9262},
issn = {1476-6256},
journal = {American journal of epidemiology},
keywords = {BirthWeight EpidemiologicMethods Humans Infant Newborn ReferenceValues SmallforGestationalAge},
month = {4},
note = {5578<m:linebreak></m:linebreak>JID: 7910653; CIN: Am J Epidemiol. 2008 Apr 1;167(7):793-6; author reply 797-8. PMID: 18343876; 2008/03/14 [aheadofprint]; ppublish;},
number = 7,
pages = {786-92},
pmid = {18343882},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {The missing data problem in birth weight percentiles and thresholds for "small-for-gestational-age".},
url = {http://www.ncbi.nlm.nih.gov/pubmed/18343882},
volume = 167,
year = 2008
}