A Proposed Random Statistical Model to Represent Lungand Bladder Cancer Diseases.

Abstract

The use of random processes in characterizing some stages of the disease and measuring the health status in the community is one of the important statistical methods in estimating the parameters of the model and the possibility of estimating the impact of medical interventions on the health status in the community and measuring the interaction between more than one pathological condition using an appropriate mathematical function to represent this interaction and working to estimate it based on medical experience and appropriate statistical distributions. The researcher proposed a random model that expresses two non-independent patients (Lung cancer and Bladder cancer),where transmission rates were formulated as a function of the age at disease onset in addition to the time taken in the stage of disease in order to estimate the probability of a person with lung cancer moving to the stage of bladder cancer λ_1 (x) and then estimating the probability of a person with bladder cancer moving to the stage of death λ_2 (x). Thus, by using the estimated parameters, we can build multidimensional life tables that include the number of healthy people, the number of patients in the stage of tumor growth, in addition to the total number of deaths and the number of deaths arising from the disease under study.