ON COMPUTATIONAL BAYESIAN ORDINAL LOGISTIC REGRESSION LINK FUNCTION IN CASES OF CERVICAL CANCER IN TUBAN
نویسندگان
چکیده
Cervical cancer is the most common that causes death in women. This mainly caused by Human Papilloma Virus (HPV). It estimated 52 million of Indonesian women are at risk having cancer, and 36% female patients suffer from cervical cancer. type cannot be diagnosed immediately as there several years pre-malignancy phase; thus, early detection or screening needed to prevent it turning into malignant. Pap test a program can detect precancer, normal condition. To understand predicting factors results, comprehensive mathematical modelling was created using link function Bayesian Ordinal Logistic Regression. study observed possible may affect results Tuban regency, namely Age (X1), Education (X2), Childbirth Experience (X3), Use Contraceptives (X4), Menstrual Cycle (X5), First Menstruation (X6), History Miscarriage (X7), Anemia (X8) Number Sexual Partners (X9) . The outcomes indicated (X8). In this model, an inexplainable error dependency varied constance values alpha.
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ژورنال
عنوان ژورنال: Barekeng
سال: 2022
ISSN: ['1978-7227', '2615-3017']
DOI: https://doi.org/10.30598/barekengvol16iss3pp909-918