BINARY LOGISTIC MODELING BACKWARD METHODS TO DETERMINE THE RISK FACTORS THAT AFFECT CERVICAL CANCER CASES
Background: Cervical cancer is second place as a killer of women in the world. Cervical cancer still be a problem of women 's reproductive health. The incidence of both cervical cancer cases and deaths showed a trend that is increasing. Several factors are considered to influence the occurrence of cervical cancer are Age, Age First Married, Number of Children, Type of Contraceptive, and Long Contraceptive Usage.
Materials and Methods: Based on the calculation of the sample size obtained case and control samples each of 40, so the total sample in this study as many as 80 samples. The method of determining and sampling is done by using simple random sampling method, ie each member of the population has the opportunity to be selected as a sample and analyze use binary logistic.
Result: The results of multivariate binary logistic regression showed five predictor variables were suspected of having links with cervical cancer cases, there are three variables, they are age , age at first married and type of contraceptive that significantly affect the cases of cervical cancer
Conclusion: Age, first marriage age, and type of contraception variables have a significant influence on cases of cervical cancer at Wisnuwardhana Cancer Foundation Surabaya
Keywords: Binary logistic regressiom, Cervical cancer, Risk factor.