Analyzing Family Planning by Logistic Regression

English (OpenAlex)

The importance of family planning is rising for countries whose population are too young or old and where infant mortality is high. There are several factors on family planning which is having the desired number of children at desired time. Family planning can be applied to both individuals and couples. It studies on avoiding undesired pregnancies, deciding the time between pregnancies, the right age for pregnancy and the right number of children. Family planning has several goals; one of them is increasing the health quality of the mother and children. Collecting and analyzing data about this subject by statistical methods will help family planning to achieve its goals with no doubt In this research, we tried to decide whether family planning affects the number of children. We were also able to get some information about how often family planning methods are used. For these purposes the data about 500 women whose ages are 15-51. It was shown that comprehensive results may be obtained by analyzing family planning data by using logistic regression. By using our results, we were able to say that it is necessary that woman must be high educated and be well informed about family planning methods. used to explain the relationship between the dependent Family planning is having the desired number variable and the independent variables, when the of children at desired times of families. In other dependent variable is observed into two or more words, Family planning is removing the undesired categories. The effects of independent variables the births, organizing the period between two dependent variable is defined as probabilities. pregnancies, deciding the right age for pregnancy Logistic regression's purpose is to estimate and the right number of children for a family. parameters by creating logistic models. It is also possible The main purpose of these works is to give to add common variables to the models and so corrected to the children and mother higher health Y estimates may be obtained according to common standards. variables. Logistic regression is a statistical technique Every year, thousands of children and mother that calculates the estimates of dependent variable and they do not have the benefits of family planning. classifies it by using probability rules. Row data sets or These deaths occur because of pregnancies at data in tables may be analyzed by this method (2-5). very young or old age, or frequent and too many There are three main methods in logistic regression number of pregnancies. These death frequencies analysis: Binary Logistic Regression Analysis: It is are high according to health problems up to used for dependent variables that have binary values. frequent pregnancies. By a successful family Ordinal Logistic Regression Analysis: It is used for planning programme the number of deaths may be dependent variable which is ordinal. The observed values decreased seriously. For the success of these must be at least in three categories. Nominal Logistic programmes, the data about children and mothers must be Regression Analysis: This method is suitable when analyzed by statistical techniques such as logistic dependent variable is nominal. The observed values must