Research in the Mathematical and Natural Sciences
Vol. 2 No. 2 (2023): May-October 2023

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

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)

Article Info

Publish Date
09 Oct 2023

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.

Copyrights © 2023




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Research in the Mathematical and Natural Sciences
Website

Abbrev

rmns

Publisher

Cv. Scimadly Publishing

Subject

Computer Science & IT Education Mathematics

Description

Research in the Mathematical and Natural Sciences (RiMaNs) is a national journal intended as a communication forum for mathematicians and other scientists from many practitioners who use mathematics in their research. RiMaNs disseminate new research results in all areas of mathematics and their ...