Using the Poisson Regression Model to Estimate the Frequency Rate of In-Vitro Fertilization (IVF) Procedures

Abstract

Children are the fundamental cornerstone of the future of nations, hence Poisson regression models were utilized to calculate the frequency rate of successful in vitro fertilization (IVF) treatments.  In a significant number of cases, pregnancy does not develop spontaneously, and as a result, doctors turn to in vitro fertilization (IVF) operations.  This is the reason why a number of characteristics that have an impact on the success of in vitro fertilization (IVF) treatments were evaluated. This analysis was based on a sample of patients who had successful procedures at Kamal Al-Samara'i Hospital, which included cases from every province in Iraq.  Weight increase creates hormonal imbalances, which diminish the chance of success in in vitro fertilization (IVF) treatments, according to the findings of the research. As a result, the mother's weight is one of the most significant elements in determining the success of IVF procedures.