Analyzing competing factors in Breast cancer by using Multistate model
DOI:
https://doi.org/10.32410/huj-10334Keywords:
Multistate model, Markov Property, Cox Proportional Hazard Model, Breast Cancer, Competing factorsAbstract
Survival analysis can be defined as a field that studies the time period until the occurrence of an event. However, in some cases, these methods may not gain sufficient control over the disease process because disease progression may involve interesting intermediate events. Therefore, multistate model have multiple events or states, which can give greater knowledge and clarity of disease progression than a pure model for survival analysis. The main purpose of this study is to reduce the ambiguity of the multistate model theory that relies on the Markov property to estimate the competing factors that may have an impact on the amount of a patient’s surgery and to estimate the severity of transmission and the probabilities of transition between different cases (transient as well as absorption) of breast cancer patients. Finally, each factor has different effects on each transition.
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