Survival Analysis with Cox Proportional Hazard Model for Tuberculosis (TBC) Patients in Haji Hospital Makassar

Keywords: Cox Proportional Hazard, Hazard Ratio, Survival Analysis, Tuberculosis

Abstract

Survival analysis is a method in statistics that is used to analyze data with a response variable, namely the time from the start of the observation to the occurrence of an event. One of the objectives of survival analysis is to determine the relationship between the time of occurrence and the factors that are thought to have an influence. One method that can be used is the cox proportional hazard regression method. The data used in this study were inpatient data with tuberculosis at the Haji Makassar Hospital in 2022. TBC data has characteristics that allow it to be analyzed using the cox proportional hazard regression method. The results of the analysis obtained factors that significantly influence the recovery rate of patients with TBC are shortness of breath and smoking habits. The shortness of breath variable has an influence on the recovery rate of TBC patients, namely 0,3506 and the smoking habit variable has an influence on the healing rate of TBC patients, namely 0,7367

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Published
2023-10-31
How to Cite
[1]
Z. Nisa, B. Poerwanto, and M. S, “Survival Analysis with Cox Proportional Hazard Model for Tuberculosis (TBC) Patients in Haji Hospital Makassar”, Jurnal Varian, vol. 7, no. 1, pp. 87 - 94, Oct. 2023.
Section
Articles