International Journal of Multidisciplinary Research and Development

International Journal of Multidisciplinary Research and Development


International Journal of Multidisciplinary Research and Development
International Journal of Multidisciplinary Research and Development
Vol. 4, Issue 12 (2017)

Modelling the number of abortions having excess zero values using zero-inflated generalized Poisson regression


Abdullah Yeşilova, Numan ÇİM, Yıldız Bora

The purpose of this study was to plan for zero-inflated generalized Poisson regression (ZIGP) in the modelling of abortion data that include excess values of zero. The data were collected using the questionnaire technique. It was ascertained that 68.67% (206 observations) of the total number of abortions taken as a model-dependent variable had zero values. A fterward, ZIGP was used to model the dataset. The results of ZIGP(?i, ?, ?i), as mean regression and zero-inflated regression, were determined in two stages. As independent variables were taken into account, it was obtained that zero-inflated data had an important effect on abortion numbers. Therefore, the zero-inflated level was found to have a statistically significant effect (p < 0.01). It was determined that over dispersion did not have an important effect on abortion numbers (p>0.05). In mean regression, the effects of age, number of pregnancies and educational level were found to be statistically significant on abortion numbers (p < 0.01).
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