Semi-Parametric analysis of cervical cancer data: A single- center study

Nurliyana Juhan and Yong Zulina Zubairi and Agnes Ayang Kenyang (2025) Semi-Parametric analysis of cervical cancer data: A single- center study. Borneo Science the Journal of Science and Technology, 46 (1). pp. 1-7. ISSN 2231-9085

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Abstract

In women, cervical cancer ranks fourth in terms of mortality and is the third most prevalent disease. It remains a significant concern among clinicians in Malaysia; however, published works on the survival of cervical cancer patients are somewhat scarce. Thus, this study aims to identify the prognostic factors that significantly affect the risk of death in cervical cancer patients using semi-parametric Cox proportional hazards regression analysis. This study began with univariate and multivariate Cox proportional hazards regression analyses, followed by a proportional hazard's assumption test for the preliminary final model. Data on cervical cancer patients treated at Hospital Universiti Sains Malaysia (HUSM) between 2013 and 2017 were utilized. In the univariate analysis, stage at diagnosis and primary treatment were found to be statistically significant at the 5% level. In the multivariate analysis, histologic type, stage at diagnosis, and distant metastasis were found to be statistically significant. The proportional hazards assumption for each variable in the preliminary final model is tested based on the scaled Schoenfeld residuals. Accordingly, this study showed that patients with stage III–IV adenocarcinoma-type cervical cancer treated at HUSM have the highest likelihood of death from the disease.

Item Type:	Article
Keyword:	Cervical cancer, survival analysis, proportional hazards assumption, Cox proportional hazards
Subjects:	R Medicine > R Medicine (General) > R5-920 Medicine (General) > R735-854 Medical education. Medical schools. Research R Medicine > RC Internal medicine > RC31-1245 Internal medicine > RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens
Department:	CENTRE > Preparation Centre for Science and Technology
Depositing User:	JUNAINE JASNI -
Date Deposited:	29 Sep 2025 16:35
Last Modified:	29 Sep 2025 16:35
URI:	https://eprints.ums.edu.my/id/eprint/45283

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