Perbandingan Metode Efron dan Breslow pada Regresi Cox Propotional Hazard yang Mengandung Ties

Sugito Mahendra Imran, La Ode Nashar, Nurwan Nurwan, Agusyarif Rezka Nuha
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Abstract

This study concerned to apply the Cox proportional hazard regression model to the incidence of ties using two approaches, namely the Efron approach and the Breslow approach, and find out its application in cases of dengue hemorrhagic fever at Dr. Hasri Ainun Habibie Hospital, Gorontalo Regency. Dengue hemorrhagic fever data was taken from Dr. Hasri Ainun Habibie Hospital, Gorontalo Regency. There were seven variables considered in this study, namely age, sex, Hemoglobin, Erythrocytes, Leukocytes, Platelets, and type of treatment. Then tested the proportional hazard assumption, all variables met the proportional hazard assumption and were included in the model. After testing the Cox best model, the two approaches used gave different results where there was one significant variable, namely, leukocytes in the Efron approach, while there was no single variable. significant based on the Breslow approach
本研究拟采用Efron法和Breslow法两种方法,将Cox比例风险回归模型应用于登革热发病率,并在Gorontalo Regency Dr. Hasri Ainun Habibie医院登革热出血热病例中进行应用。登革出血热数据取自Gorontalo摄制区Hasri Ainun Habibie医生医院。本研究考虑了7个变量,即年龄、性别、血红蛋白、红细胞、白细胞、血小板和治疗类型。然后对比例风险假设进行检验,所有变量均满足比例风险假设,纳入模型。在测试Cox最佳模型后,使用的两种方法给出了不同的结果,其中有一个显著变量,即Efron方法中的白细胞,而没有单一变量。基于Breslow方法的显著性
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