{"title":"结核病患者的生存时间建模使用考克斯与受审查数据的比例回归","authors":"None Elsa Oktaviani, None Nonong Amalita, None Atus Amadi Putra, None Dony Permana","doi":"10.24036/ujsds/vol1-iss4/65","DOIUrl":null,"url":null,"abstract":"Cox proportional hazard regression is a type of survival analysis that can be applied to tuberculosis cases. This study aims to determine the Cox proportional hazard regression model and the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil Padang. The survival period used is the time when the patient is taking TB treatment at RSUP Dr. M. Djamil Padang in 2021 until the patient is declared dead. The method used in the Cox Proportional Hazard Regression analysis is the Maximum Partial Likelihood Estimation Method. By using the cox proportional hazard regression model, the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil's is BMI (X3) , leukocytes (X5) , fever (X9) , shortness of breath (X11) , and decreased appetite (X12) . The Cox Proportional Hazard Regression Model obtained is hi(t) = h0(t) exp(1,315X3 + 1,224X5 + 1,138X9 +1,623X11 + 1,251X12).","PeriodicalId":220933,"journal":{"name":"UNP Journal of Statistics and Data Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pemodelan Waktu Survival Pasien Tuberkulosis menggunakan Regresi Cox Proportional Hazard dengan Data Tersensor\",\"authors\":\"None Elsa Oktaviani, None Nonong Amalita, None Atus Amadi Putra, None Dony Permana\",\"doi\":\"10.24036/ujsds/vol1-iss4/65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cox proportional hazard regression is a type of survival analysis that can be applied to tuberculosis cases. This study aims to determine the Cox proportional hazard regression model and the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil Padang. The survival period used is the time when the patient is taking TB treatment at RSUP Dr. M. Djamil Padang in 2021 until the patient is declared dead. The method used in the Cox Proportional Hazard Regression analysis is the Maximum Partial Likelihood Estimation Method. By using the cox proportional hazard regression model, the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil's is BMI (X3) , leukocytes (X5) , fever (X9) , shortness of breath (X11) , and decreased appetite (X12) . The Cox Proportional Hazard Regression Model obtained is hi(t) = h0(t) exp(1,315X3 + 1,224X5 + 1,138X9 +1,623X11 + 1,251X12).\",\"PeriodicalId\":220933,\"journal\":{\"name\":\"UNP Journal of Statistics and Data Science\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"UNP Journal of Statistics and Data Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24036/ujsds/vol1-iss4/65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"UNP Journal of Statistics and Data Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24036/ujsds/vol1-iss4/65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
Cox比例风险回归是一种适用于肺结核病例的生存分析。本研究旨在确定Cox比例风险回归模型及影响RSUP Dr. M. Djamil Padang肺结核患者生存时间的因素。所使用的生存期是患者从2021年开始在RSUP医生M. Djamil Padang接受结核病治疗到患者被宣布死亡的时间。Cox比例风险回归分析中使用的方法是极大偏似然估计法。通过cox比例风险回归模型，影响RSUP Dr. M. Djamil’s肺结核患者生存时间的因素为BMI (X3)、白细胞(X5)、发热(X9)、呼吸短促(X11)和食欲下降(X12)。得到的Cox比例风险回归模型为hi(t) = h0(t) exp(1315x3 + 1224x5 + 1138x9 + 1623x11 + 1251x12)。
Pemodelan Waktu Survival Pasien Tuberkulosis menggunakan Regresi Cox Proportional Hazard dengan Data Tersensor
Cox proportional hazard regression is a type of survival analysis that can be applied to tuberculosis cases. This study aims to determine the Cox proportional hazard regression model and the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil Padang. The survival period used is the time when the patient is taking TB treatment at RSUP Dr. M. Djamil Padang in 2021 until the patient is declared dead. The method used in the Cox Proportional Hazard Regression analysis is the Maximum Partial Likelihood Estimation Method. By using the cox proportional hazard regression model, the factors that influence the survival time of tuberculosis patients at RSUP Dr. M. Djamil's is BMI (X3) , leukocytes (X5) , fever (X9) , shortness of breath (X11) , and decreased appetite (X12) . The Cox Proportional Hazard Regression Model obtained is hi(t) = h0(t) exp(1,315X3 + 1,224X5 + 1,138X9 +1,623X11 + 1,251X12).
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