Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)

BACKGROUND AND OBJECTIVE: Different statistical methods can be used to analyze fertility data. In cases that dependent variable is count, Poisson model is applied. If Poisson model is not applicable in a specific situation, it is better to apply generalized Poisson model and in cases that multilevel...

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Autores principales:	N Zare, M Sayadi, E Rezaeyan Fard, H Ghaem, M Vosugh
Formato:	article
Lenguaje:	EN FA
Publicado:	Babol University of Medical Sciences 2010
Materias:	fertility behavior poisson model generalized poisson model multilevel poisson model number of children Medicine R Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/5f8b1fdeaa7e4c00a55af66a8fa923cc
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spelling	oai:doaj.org-article:5f8b1fdeaa7e4c00a55af66a8fa923cc2021-11-10T09:00:22ZComparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)1561-41072251-7170https://doaj.org/article/5f8b1fdeaa7e4c00a55af66a8fa923cc2010-06-01T00:00:00Zhttp://jbums.org/article-1-3489-en.htmlhttps://doaj.org/toc/1561-4107https://doaj.org/toc/2251-7170BACKGROUND AND OBJECTIVE: Different statistical methods can be used to analyze fertility data. In cases that dependent variable is count, Poisson model is applied. If Poisson model is not applicable in a specific situation, it is better to apply generalized Poisson model and in cases that multilevel variable exists, it is better to use multilevel Poisson model. Our goal in this study is to compare both generalized and multilevel Poisson regression model with Poisson regression model in estimating of coefficient of the effective factors on the number of children.METHODS: This is a cross-sectional study. A sample of 1019 women (15-49 years old) from rural area was selected by stratified sampling. The women were categorized into seven groups and in each group the intended samples were selected equally by systematic sampling. Data were analyzed by Poisson regression model, generalized and multilevel Poisson regression model.FINDINGS: The sample mean and sample variance of the number of children were 4.3 and 8.3, respectively. There was a significant relationship between educational status of the spouses, age of marriage, feeding period, economical status and the interval between the children in generalized and multilevel Poisson regression model.CONCLUSION: According to the results of this study, generalized and multilevel Poisson regression models were more suitable for data analysis and it can estimate coefficient effective of factors on the number of children exactly.N Zare,M SayadiE Rezaeyan Fard,H GhaemM VosughBabol University of Medical Sciencesarticlefertility behaviorpoisson modelgeneralized poisson modelmultilevel poisson modelnumber of childrenMedicineRMedicine (General)R5-920ENFAMajallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, Vol 12, Iss 2, Pp 35-40 (2010)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	fertility behavior poisson model generalized poisson model multilevel poisson model number of children Medicine R Medicine (General) R5-920
spellingShingle	fertility behavior poisson model generalized poisson model multilevel poisson model number of children Medicine R Medicine (General) R5-920 N Zare, M Sayadi E Rezaeyan Fard, H Ghaem M Vosugh Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
description	BACKGROUND AND OBJECTIVE: Different statistical methods can be used to analyze fertility data. In cases that dependent variable is count, Poisson model is applied. If Poisson model is not applicable in a specific situation, it is better to apply generalized Poisson model and in cases that multilevel variable exists, it is better to use multilevel Poisson model. Our goal in this study is to compare both generalized and multilevel Poisson regression model with Poisson regression model in estimating of coefficient of the effective factors on the number of children.METHODS: This is a cross-sectional study. A sample of 1019 women (15-49 years old) from rural area was selected by stratified sampling. The women were categorized into seven groups and in each group the intended samples were selected equally by systematic sampling. Data were analyzed by Poisson regression model, generalized and multilevel Poisson regression model.FINDINGS: The sample mean and sample variance of the number of children were 4.3 and 8.3, respectively. There was a significant relationship between educational status of the spouses, age of marriage, feeding period, economical status and the interval between the children in generalized and multilevel Poisson regression model.CONCLUSION: According to the results of this study, generalized and multilevel Poisson regression models were more suitable for data analysis and it can estimate coefficient effective of factors on the number of children exactly.
format	article
author	N Zare, M Sayadi E Rezaeyan Fard, H Ghaem M Vosugh
author_facet	N Zare, M Sayadi E Rezaeyan Fard, H Ghaem M Vosugh
author_sort	N Zare,
title	Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
title_short	Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
title_full	Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
title_fullStr	Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
title_full_unstemmed	Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)
title_sort	comparison of generalized and multilevel poisson regression model with poisson model in fertility data in rural of fars province (iran)
publisher	Babol University of Medical Sciences
publishDate	2010
url	https://doaj.org/article/5f8b1fdeaa7e4c00a55af66a8fa923cc
work_keys_str_mv	AT nzare comparisonofgeneralizedandmultilevelpoissonregressionmodelwithpoissonmodelinfertilitydatainruraloffarsprovinceiran AT msayadi comparisonofgeneralizedandmultilevelpoissonregressionmodelwithpoissonmodelinfertilitydatainruraloffarsprovinceiran AT erezaeyanfard comparisonofgeneralizedandmultilevelpoissonregressionmodelwithpoissonmodelinfertilitydatainruraloffarsprovinceiran AT hghaem comparisonofgeneralizedandmultilevelpoissonregressionmodelwithpoissonmodelinfertilitydatainruraloffarsprovinceiran AT mvosugh comparisonofgeneralizedandmultilevelpoissonregressionmodelwithpoissonmodelinfertilitydatainruraloffarsprovinceiran
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Comparison of Generalized and Multilevel Poisson Regression Model with Poisson Model in Fertility Data in Rural of Fars Province (Iran)

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