Analyzing competing factors in Breast cancer by using Multistate model

Authors

  • Khanda Gharib Aziz Halabja Technical College for Applied Science, Sulaimani Polytechnic University, Sulaimaniyah, Kurdistan Region, Iraq
  • Abbas Gul MuradBeg Murad Statistic and Information Department, College of Administration and Economic, University of Sulaimani, Sulaimaniyah, Kurdistan Region, Iraq

DOI:

https://doi.org/10.32410/huj-10334

Keywords:

Multistate model, Markov Property, Cox Proportional Hazard Model, Breast Cancer, Competing factors

Abstract

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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Websites:

Annual Report Iraqi Cancer Registry (2015-2016).Republic of Health Ministry of HealthEnvironment. Iraqi Cancer Board.

Published

2020-09-30

How to Cite

Aziz, K. G. ., & Murad, A. G. M. . (2020). Analyzing competing factors in Breast cancer by using Multistate model. Halabja University Journal, 5(3), 378–397. https://doi.org/10.32410/huj-10334