Distribution of Computerized Datasets To Fit Weibull, Log-Logistics and Gompertz Survival Models

The lack of detailed and analytic study on the risk factors Breast cancer in Nigerian presents us with challenge not knowing distinct to settings. Effectively handling breast treatment co-infected patients is delicate. Some challenges infection include drug-to-drug interactions between procedures required treat cells, thus hormonal drugs burdens patient’s inability comply dosage intake thereby making women prone developing other forms cancer. aim research was analyzed distributed dataset fit Weibull, Log-logistics Gompertz survival models. methodology involved collection data cases oncological using descriptive statistics parametric result shows that Cramer-von Misses (W), Anderson Darling (A) Kolmogorov Smirnov (D) statistics, Log-logistic distribution has greater p-value than distributions, hence it best for times a group given chemotherapy treatment. concluded model fitted data, while log-logistic data. It also Weibull models perform better fatigue fracture nicotine measurements.