The Most Influential Factors for a Successful Pregnancy After in Vitro Fertilization by Model of Probit Regression

Abstract

The issue of infertility is one of the most important topics addressed by society, especially in our current situation. The Probit regression method is one of the most important methods in this analysis which effects on the statistical tests of the significance of the estimated parameters of the regression model. In this paper, we studied the Probit regression model to determine the most important factors affecting the success of pregnancy and life birth after in-vitrofertilization (IVF), where a simple random sample of ( 160) infertile individuals was withdrawn, represented by the following variables; Maternal age, paternal age, Types of infertility, Number of previous treatment cycles, Who is the cause of the infertility (man or woman), Number of retrieved oocytes, Frozen embryos transfer (FET),Anti-Müllerian hormone (AMH), Follicle-stimulating hormone (FSH)andLuteinizing hormone (LH).Of these and through the statistical program SPSS, we concluded that the paternal and maternal ages, type of infertility, cause of infertility and FSH are influential factors on the success of pregnancy.