Analisis ketahanan hidup pada penderita kanker serviks menggunakan regresi cox proportional hazard

Hafildah, Ummi and Karisma, Ria Dhea Layla Nur ORCID: https://orcid.org/0000-0002-5941-9565 (2022) Analisis ketahanan hidup pada penderita kanker serviks menggunakan regresi cox proportional hazard. Jurnal Riset Mahasiswa Matematika, 2 (2). pp. 59-67. ISSN 2808-4926

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Abstract

Survival analysis is a statistical method used to analyze data with time until the occurrence of a certain event which is commonly referred to as "failure". One of the objectives of survival analysis is to determine the effect of predictor variables on survival time. The purpose of this study was to determine the regression model and determine the hazard ratio of each factor that is thought to affect the survival of cervical cancer patients. The results of this study showed that the factors that influence patients with cervical cancer in their survival are stage II and stage III variables (the patient’s stage), complications, and a history of pregnancy (who have children 0-2).

Item Type:	Journal Article
Keywords:	survival; cox proportional hazard regression; Kaplan Meier; log rank
Subjects:	01 MATHEMATICAL SCIENCES > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010401 Applied Statistics 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010402 Biostatistics 01 MATHEMATICAL SCIENCES > 0104 Statistics > 010499 Statistics not elsewhere classified
Divisions:	Faculty of Mathematics and Sciences > Department of Mathematics
Depositing User:	Miss Ria Dhea Layla Nur Karisma
Date Deposited:	19 Nov 2024 08:21

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