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Title

COMPARISON OF EFFICIENCY IN GENERALIZED POISSON REGRESSION MODEL AND THE STANDARD POISSON REGRESSION MODEL IN ANALYZING FERTILITY BEHAVIOR AMONG WOMEN, KASHAN, 2012

Pages

  1-9

Abstract

 Introduction: Different statistical methods can be used to analyze fertility data. When the response variable is discrete, Poisson model is applied. If the condition does not hold for the Poisson model, its generalized model will be applied.The goal of this study was to compare the efficiency of generalized Poisson regression model with the standard Poisson regression model in estimating the coefficient of effective factors in the NUMBER OF CHILDREN.Methods: This is a cross-sectional study carried out on a population of married women with the age range of 15-49 years old in Kashan, Iran. The cluster sampling method was used for data collection. Clusters consisted of the urban blocks determined by the municipality. The total number of 10 clusters each of 30 households was selected according to the health center's framework. The necessary data were then collected through a self-made questionnaire and direct interviews with women under study. Further, the data analysis was performed by using the standard and generalized Poisson regression models through the R software.Results: The average NUMBER OF CHILDREN for each woman was 1.45 with a variance of 1.073.A significant relationship was observed between the husband's age, number of unwanted pregnancies, and the average duration of breastfeeding with the present NUMBER OF CHILDREN in the two standard and generalized Poisson regression models (p<0.05). The mean age of women participating in this study was 33.1±7.57 years (from 25.53 years to 40.67) and the mean age of marriage was 20.09±3.82 (from16.27 years to23.91), and the mean age of their husbands was 37.9±8.4years (from 29.5 years to 46.3). In the current study, the majority of women were in the age range of 30-35 years old with the median of 32 years old, however, most of men were in the age range of 35-40 years old with the median of 37 years old. While 236 of women did not have unwanted pregnancies, most participants of the present study had one unwanted pregnancy.Conclusion: According to the achieved results, the generalized Poisson regression model is more suitable for data analysis and can estimate the coefficient of effective factors on the NUMBER OF CHILDREN more precisely.

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    APA: Copy

    FALAHZADEH, HOSSEIN, JAHANARAE, ZAHRA, ASKARISHAHI, MOHSSEN, & LOTFI, MOHAMMAD. (2017). COMPARISON OF EFFICIENCY IN GENERALIZED POISSON REGRESSION MODEL AND THE STANDARD POISSON REGRESSION MODEL IN ANALYZING FERTILITY BEHAVIOR AMONG WOMEN, KASHAN, 2012. TOLOO-E-BEHDASHT, 16(1 (61)), 1-9. SID. https://sid.ir/paper/102867/en

    Vancouver: Copy

    FALAHZADEH HOSSEIN, JAHANARAE ZAHRA, ASKARISHAHI MOHSSEN, LOTFI MOHAMMAD. COMPARISON OF EFFICIENCY IN GENERALIZED POISSON REGRESSION MODEL AND THE STANDARD POISSON REGRESSION MODEL IN ANALYZING FERTILITY BEHAVIOR AMONG WOMEN, KASHAN, 2012. TOLOO-E-BEHDASHT[Internet]. 2017;16(1 (61)):1-9. Available from: https://sid.ir/paper/102867/en

    IEEE: Copy

    HOSSEIN FALAHZADEH, ZAHRA JAHANARAE, MOHSSEN ASKARISHAHI, and MOHAMMAD LOTFI, “COMPARISON OF EFFICIENCY IN GENERALIZED POISSON REGRESSION MODEL AND THE STANDARD POISSON REGRESSION MODEL IN ANALYZING FERTILITY BEHAVIOR AMONG WOMEN, KASHAN, 2012,” TOLOO-E-BEHDASHT, vol. 16, no. 1 (61), pp. 1–9, 2017, [Online]. Available: https://sid.ir/paper/102867/en

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