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All Journal Jurnal Keperawatan Bunda Edu-Midwifery Journal (BEMJ) MALIA YUSTISI Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Yustisi: Jurnal Hukum dan Hukum Islam JURNAL MANAJEMEN MODAL INSANI DAN BISNIS (JMMIB) Jurnal Ilmu Hukum, Humaniora dan Politik (JIHHP) eProceedings of Applied Science Jurnal Medika: Medika Bina Bangsa International Journal of Business and Management
Amelia Wulandari
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Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Other

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MODEL EXTENDED COX UNTUK MENGATASI NON-PROPORTIONAL HAZARD PADA DATA STUDI KANKER PARU-PARU Arumningtyas, Felinda; Juliza, Melda; Chandra, Novita Eka; Wulandari, Amelia
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 17 No 2 (2025): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2025.17.2.18061

Abstract

Lung cancer is a major cause of cancer-related deaths in Indonesia, making it essential to identify factors influencing patient survival. This study aims to analyze lung cancer patient survival using the Extended Cox Model as an alternative when the Proportional Hazard (PH) assumption is not met. Secondary data from 137 lung cancer patients were analyzed using variables such as type of treatment, treatment history, cancer cell type, Karnofsky score, age, and time of diagnosis. The results showed that only the Karnofsky score was significant in Cox-PH, but the assumption test showed that the cell type and Karnofsky score variables violated PH. Therefore, the analysis was continued with the Extended Cox Model. The final results showed that cell type and Karnofsky score had a significant effect on survival. The Hazard Ratio showed that a certain cell type reduced the risk of death by 22.7%, and an increase of one unit in the Karnofsky score reduced the risk of death by 3.1%. Cancer cell type and Karnofsky score are important factors in the survival of lung cancer patients, and the Extended Cox model has been proven to provide more reliable estimates than Cox-PH when the PH assumption is not being followed.
Co-Authors Afiah Afiah Ananda, Lusi Septia Arisman Bahrun, Khairul Billy J. Kepel Dessyka Febria, Dessyka Felinda Arumningtyas Fitri Yuliana Guntur Rambey Laurensia Yunita Melda Juliza Novita Eka Chandra Riyan Andni Rizki Rahmawati Lestari Sari, Laynita Sefty S. Rompas Sri Hardianti Sri Widaningsih, Sri Subhannur Rahman Syafriani Syafriani, Syafriani Wahidin