Implementasi Model Cox Stratifikasi Interaksi dan Tanpa Interaksi untuk Mengidentifikasi Faktor-Faktor Laju Kesembuhan Pasien TB Paru

Fakhira Modeong; Dewi Rahmawaty Isa; Ismail Djakaria; Muhammad Rezky Friesta Payu; Sri Lestari Mahmud

doi:10.55657/rmns.v2i2.130

Authors

Fakhira Modeong Universitas Negeri Gorontalo
Dewi Rahmawaty Isa Universitas Negeri Gorontalo
Ismail Djakaria Universitas Negeri Gorontalo
Muhammad Rezky Friesta Payu Universitas Negeri Gorontalo
Sri Lestari Mahmud Universitas Negeri Gorontalo

DOI:

https://doi.org/10.55657/rmns.v2i2.130

Keywords:

Cox Proportional Hazard Regression, Stratified Cox Regression, Pulmonary Tuberculosis

Abstract

This study aims to determine the factors that most influence the rate of recovery of pulmonary tuberculosis patients using the Cox Proportional Hazard model. In the case of the cure rate of pulmonary tuberculosis patients, not all independent variables meet the proportional hazard assumption, so the stratified cox regression model is used. The stratified cox regression model used is the stratified cox model with interaction and without interaction involving pulmonary tuberculosis patients in one of the Gorontalo Hospitals. The results showed that the variables of shortness of breath, previous pulmonary tuberculosis patients, and smoking habits were the most significant factors affecting the recovery rate of pulmonary tuberculosis patients.

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