Abstract

Gender consists of female and male. Diabetes mellitus is a chronic disease characterized by high levels of sugar in the blood. Glucose is controlled by the hormone insulin which is produced by the pancreas. In diabetics, the pancreas is unable to produce insulin according to the body’s needs. Blood sugar tests can be done to find out someone has diabetes. This method by a time blood sugar test and fasting blood sugar test. Stroke is a condition that occurs when the blood supply to the brain is interrupted or reduced due to a blockage (ischemic stroke) or rupture of a blood vessel (hemorrhagic stroke). We can use the proportional hazards regression and the stratified proportional hazards model to determine the factors causing diabetes mellitus and stroke. The significant covariate could be seen as a factor causing disease. Significant covariate also yields hazard ratio. If the event time assumed has loglogistics distribution. Some of the functions discussed in this paper, namely the cumulative distribution function, survival function, hazard rate function, and cumulative hazard function. These functions are useful for prediction tools provided the event time is known. The purpose of this study was to find the factors that cause diabetes mellitus and stroke in the gender strata and making functions of random variables with the logistic distribution. The results obtained from this study are the factors that influence a person at risk of stroke namely the type of stroke, hypertension, systolic blood pressure, diastolic blood pressure, and diabetes mellitus. The factors that affect a person at risk of stroke according to gender are the type of stroke, hypertension, systolic blood pressure. If the sample includes all women who have had a stroke, it is primarily affected by the type of stroke. If the sample consists of all men who have had a stroke, it is concluded that the significant covariates are type of stroke, hypertension, systolic blood pressure, and diabetes mellitus. Men have a higher rate of stroke than women.

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