The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model

Generalized linear models (GLMs) are generalization of the linear regression models, which allow fitting regression models to response variable that is non normal and follows a general exponential family. The aim of this study is to encourage and initiate the application of GLMs to predict the mater...

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Main Author: Zakaria Y. AL-Jammal
Format: Article
Language:Arabic
Published: College of Computer Science and Mathematics, University of Mosul 2009-06-01
Series:المجلة العراقية للعلوم الاحصائية
Online Access:https://stats.mosuljournals.com/article_30637_0ab8439f47fd3b66a78536117e4055cd.pdf
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author Zakaria Y. AL-Jammal
author_facet Zakaria Y. AL-Jammal
author_sort Zakaria Y. AL-Jammal
collection DOAJ
description Generalized linear models (GLMs) are generalization of the linear regression models, which allow fitting regression models to response variable that is non normal and follows a general exponential family. The aim of this study is to encourage and initiate the application of GLMs to predict the maternal and fetal blood lead level. The inverse Gaussian distribution with inverse quadratic link function is considered. Four main effects were significant in the prediction of the maternal blood lead level (pica, smoking of mother, dairy products intake of mother, calcium intake of mother), while in the prediction of the fetal blood lead level two main effects showed significance (dairy products intake of mother and hemoglobin of mother). Keywords: Generalized linear models, Exponential family, Inverse Gaussian distribution, Link functions
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spelling doaj.art-e146ba8b251a445aaab4864d7d932cf72022-12-22T00:32:55ZaraCollege of Computer Science and Mathematics, University of Mosulالمجلة العراقية للعلوم الاحصائية1680-855X2664-29562009-06-019111610.33899/iqjoss.2009.3063730637The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear ModelZakaria Y. AL-JammalGeneralized linear models (GLMs) are generalization of the linear regression models, which allow fitting regression models to response variable that is non normal and follows a general exponential family. The aim of this study is to encourage and initiate the application of GLMs to predict the maternal and fetal blood lead level. The inverse Gaussian distribution with inverse quadratic link function is considered. Four main effects were significant in the prediction of the maternal blood lead level (pica, smoking of mother, dairy products intake of mother, calcium intake of mother), while in the prediction of the fetal blood lead level two main effects showed significance (dairy products intake of mother and hemoglobin of mother). Keywords: Generalized linear models, Exponential family, Inverse Gaussian distribution, Link functionshttps://stats.mosuljournals.com/article_30637_0ab8439f47fd3b66a78536117e4055cd.pdf
spellingShingle Zakaria Y. AL-Jammal
The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
المجلة العراقية للعلوم الاحصائية
title The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
title_full The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
title_fullStr The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
title_full_unstemmed The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
title_short The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model
title_sort prediction of the maternal and fetal blood lead level via generalized linear model
url https://stats.mosuljournals.com/article_30637_0ab8439f47fd3b66a78536117e4055cd.pdf
work_keys_str_mv AT zakariayaljammal thepredictionofthematernalandfetalbloodleadlevelviageneralizedlinearmodel
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