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All Journal Media Statistika E-Dimas: Jurnal Pengabdian kepada Masyarakat Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal Varian Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) International Journal of Research in Community Services Journal of Sustainable Community Development Joong-Ki
Felinda Arumningtyas
Universitas Jenderal Soedirman
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Social Sciences Other

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MODEL EXTENDED COX UNTUK MENGATASI NON-PROPORTIONAL HAZARD PADA DATA STUDI KANKER PARU-PARU Felinda Arumningtyas; Melda Juliza; Novita Eka Chandra; Amelia Wulandari
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 Agung Prabowo Agung Prabowo Alan Prahutama Amelia Wulandari Bambang Widjanarko Otok Hasbi Yasin Hendrian, Jody Lutfiah Maharani Siniwi Melda Juliza Novita Eka Chandra Puce Angreni Puspita Kartikasari Santi Wulan Purnami Sari, Indri Puspita Sherly Steffiyani Askarilia Siahaan, Rina Br Wulandari, Isna