Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya

This research aimed to (1) estimate the survival functions, and (2) investigate the effect of some covariates toward the survival time  from hospitalization time data in Public Health Center of Indralaya. The research subjects consisted of all the diarrhea patients who were hospitalized within the p...

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Main Authors: Ali Amran, Alfensi Faruk
Format: Article
Language:English
Published: Universitas Udayana 2015-12-01
Series:Jurnal Matematika
Subjects:
Online Access:https://ojs.unud.ac.id/index.php/jmat/article/view/21601
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author Ali Amran
Alfensi Faruk
author_facet Ali Amran
Alfensi Faruk
author_sort Ali Amran
collection DOAJ
description This research aimed to (1) estimate the survival functions, and (2) investigate the effect of some covariates toward the survival time  from hospitalization time data in Public Health Center of Indralaya. The research subjects consisted of all the diarrhea patients who were hospitalized within the period from January 1, 2014 to June 30, 2014. The patient's characteristics were sex, age, job, and disease status. The result showed that the lowest probability of a patient will be out of hospitalization was on the fourth day and the highest probability was on the fifteenth day. In order to find the best model, some statistical tests were also conducted in this research.
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spelling doaj.art-b892853487f5443483075604902200892022-12-22T01:41:23ZengUniversitas UdayanaJurnal Matematika1693-13942015-12-015210511610.24843/JMAT.2015.v05.i02.p6021601Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas IndralayaAli Amran0Alfensi Faruk1Jurusan Matematika, Fakultas MIPA, Universitas SriwijayaJurusan Matematika, Fakultas MIPA, Universitas SriwijayaThis research aimed to (1) estimate the survival functions, and (2) investigate the effect of some covariates toward the survival time  from hospitalization time data in Public Health Center of Indralaya. The research subjects consisted of all the diarrhea patients who were hospitalized within the period from January 1, 2014 to June 30, 2014. The patient's characteristics were sex, age, job, and disease status. The result showed that the lowest probability of a patient will be out of hospitalization was on the fourth day and the highest probability was on the fifteenth day. In order to find the best model, some statistical tests were also conducted in this research.https://ojs.unud.ac.id/index.php/jmat/article/view/21601Survival ModelTime of HospitalizationCox Regression
spellingShingle Ali Amran
Alfensi Faruk
Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
Jurnal Matematika
Survival Model
Time of Hospitalization
Cox Regression
title Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
title_full Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
title_fullStr Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
title_full_unstemmed Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
title_short Model Survival Nonparametrik Pada Data Rawat Inap Pasien Diare di Puskesmas Indralaya
title_sort model survival nonparametrik pada data rawat inap pasien diare di puskesmas indralaya
topic Survival Model
Time of Hospitalization
Cox Regression
url https://ojs.unud.ac.id/index.php/jmat/article/view/21601
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