Multiple period logit model using the maximum likelihood and Bayesian approach on data of breast cancer patients in C-Tech Laboratories Tangerang

Survival statistical analysis is a method that describes the analysis of data in the form of time, starting from the time of origin until the occurrence of a special event. In certain cases, an object has a state that can change over time. Survival analysis that can detect changes in time is multiple period logit analysis. To form an analytical model, it is necessary to have an estimation. The estimations that will be used in this research are Maximum Likelihood (ML) estimation and Bayesian estimation with a prior uniform. In 2020 there were 213,546 cancer cases in Indonesia, breast cancer cases increased to 16.6% with 9.6% mortality. Currently, there is an alternative tool that is considered capable of reducing the mortality rate of breast cancer patients, namely Electro Capacitive Cancer Therapy (ECCT). ECCT, a therapeutic device in the form of a vest in which there is an alternating current electric field with low intensity (