
A Statistical Application on Determining the Prognostic Factors of Oral Squamous Cell Carcinomas (Oscc) In Malaysia
Author(s) -
Wan Muhamad Amir W Ahmad,
Nurhayu Abdul Rahman,
Nor Azlida Aleng,
Nurfadhlina Abdul Halim,
Mohamad Arif Awang Nawi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a1000.078219
Subject(s) - medicine , basal cell , oncology , cancer , proportional hazards model , squamous cell cancer , oral cavity , dentistry
Oral cancer is an important global health concern, representing the sixth most frequent malignant tumor. The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of mortality rate (highest prevalence being identified in Asia). In 2012, it has been reported that 14.1 million new cancer cases and 8.2 million cancer deaths. Numbers of studies have been performed to investigate the factors that have direct and indirect or both associated with the OSCC, including their survival time. In this paper, the potential clinicopathological prognostic factors will be determined in patients who attended Hospital Universiti Sains Malaysia from 2005 to 2015. For such prediction, the use of hazard regression is used previously, but here an attempt is made to propose a covariate-dependent prognostic model to identify the factors and the predictor importance according to the statistical significant point of view. The proposed model is very useful for the prediction and for the inferences of the patient’s management time with the high-risk clinicopathological factors