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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Hamidah Nasution
State University of Medan
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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MODEL REGRESSION COX PROPORTIONAL HAZARD WITH BAYESIAN METHOD FOR SURVIVAL ANALYSIS OF COVID-19 PATIENT CASES AT RSUD Dr. PIRNGADI KOTA MEDAN Aurelia Anandara; Hamidah Nasution; Ismail Husein
ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v6i2.14648

Abstract

Survival analysis is a statistical procedure for analyzing data by observing the response variable in the form of event time data from the beginning of recording to the end of the event. Survival analysis is used in many fields of medicine. The cox proportional hazard model aims to look at the factors of the recovery rate on patient survival. In this study using Bayesian data with Lognormal distribution in Covid-19 patients at Dr. Pirngadi, Medan City. The predictor variables are Age, gender, employment status, and other diagnose. Based on the research, the cox proportional hazard model was obtained  with the influential variables based on the credible interval it is known that the age and genderare significant variables. Among the two variables that have the most influence is the age because it obtains a larger coefficient, namely
Co-Authors Aurelia Anandara Ismail Husein, Ismail