Inferensi
Vol 9 No 2 (2026)

Application of the Cox Proportional Hazards Model in Survival Analysis of Hypertensive Patients

Ineu Sulistiana (Universitas Bangka Belitung)
Zamziri (Program Studi Keperawatan, Universitas Bangka Belitung, Indonesia)
Ummi Maktum (Program Studi Keperawatan, Universitas Bangka Belitung, Indonesia)



Article Info

Publish Date
18 Aug 2026

Abstract

Hypertension is a global health problem and one of the leading causes of mortality in Indonesia, including the Bangka Belitung Islands Province. This study aims to analyze the factors affecting the time required for blood pressure to return to normal in hospitalized hypertension patients at Bakti Timah Hospital Pangkalpinang. The methods used were survival analysis with Kaplan–Meier estimation, the Log-rank test, and the Cox Proportional Hazard Model. The results of the Log-rank test showed that the survival functions of hypertensive patients aged less than 50 years and those aged more than 50 years were statistically significantly different, indicating a different effect on the time to blood pressure normalization. Similarly, the comparison of the survival functions between patients with comorbidities and those without comorbidities showed a statistically significant difference, indicating a different effect on the time to blood pressure normalization among hypertensive patients. The best model obtained was h_i (t│X)=h_o (t)exp⁡(〖-2,82047〗_(hypertensive patients with comorbidities)). Based on the Hazard Ratio (HR), hypertensive patients with comorbidities have a hazard of achieving normal blood pressure that is 0.06 times that of hypertensive patients without comorbidities.

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Journal Info

Abbrev

inferensi

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering Mathematics Social Sciences

Description

The aim of Inferensi is to publish original articles concerning statistical theories and novel applications in diverse research fields related to statistics and data science. The objective of papers should be to contribute to the understanding of the statistical methodology and/or to develop and ...