A Comparison Between Probit And Logit Regression In Identifying Risk Factors Of Cervical Cancer In Public Hospital

Authors

  • Tan Li Jun Faculty of Applied Sciences and Technology, University Tun Hussein Onn Malaysia, 84600 Pagih, Johor, Malaysia
  • Suliadi Firdaus Sufahani

Abstract

Cervical cancer(CC) is one of the cancer that easily to get in female. Globally around 569,847 new cervical
cancer cases and 311,365 deaths in every year for 2018 are estimated by the Global Cancer Observatory
(GLOBOCAN). It is the third leading cause of female cancer in Malaysia. In this review paper, the risk
factor of CC was discussed. The related research of method was discussed and carried out which include
Generalized linear model (GLMs), Case-control technique, Multiple linear regression (MLR). Previous
researchers of research will be summaries into an overview form of tabular for making more easier to study

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Published

2020-04-28

How to Cite

Jun, T. L. ., & Sufahani, S. F. . (2020). A Comparison Between Probit And Logit Regression In Identifying Risk Factors Of Cervical Cancer In Public Hospital. International Journal of Advanced Computer Systems and Software Engineering, 1(2), 12–19. Retrieved from https://journal.scientiaca.org/index.php/ijacsse/article/view/17

Issue

Vol. 1 No. 2 (2020): April

Section

Articles