Analisis Regresi Cox Extended Pada Pasien Kusta Di Kecamatan Brondong Kabupaten Lamongan

Nurfain, . (2017) Analisis Regresi Cox Extended Pada Pasien Kusta Di Kecamatan Brondong Kabupaten Lamongan. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kusta merupakan salah satu penyakit yang tergolong menular dan masih belum sepenuhnya mampu dikendalikan pemerintah. Penyakit kusta terbagi menjadi dua tipe kusta yaitu Pausi Bacillary (PB) dan Multi Bacillary (MB). Penelitian mengenai kejadian kusta dengan mengidentifikasi laju perbaikan klinisnya dapat menggunakan analisis survival dengan memodelkan faktor-faktor yang diduga berpengaruh terhadap probabilitas perbaikan klinis pasien kusta. Metode yang dapat digunakan pada analisis survival yaitu model Cox Proportional Hazard yang terbatas pada hazard ratio yang konstan. Tetapi jika hazard ratio tidak konstan maka perlu digunakan metode alternatif yaitu salah satunya dengan regresi Cox Extended. Berdasarkan hasil analisis, setelah hari ke-190 untuk tipe PB dan ke-370 untuk tipe MB ternyata didapatkan probabilitas pasien kusta di kecamatan Brondong, lamongan yang mengalami perbaikan klinis cukup besar. Dengan kata lain, setelah hari tersebut sudah banyak pasien yang mengalami perbaikan klinis dan dinyatakan Release From Treatment (RF). Variabel yang tidak memenuhi asumsi proportional hazard adalah status pasien. Kemudian variabel yang signifikan mempengaruhi laju perbaikan klinis pasien kusta adalah tipe kusta dan keteraturan berobat. Pasien kusta yang menderita tipe MB cenderung mengalami perbaikan klinis 0,001 kali lebih kecil dibandingkan tipe PB. Sementara itu, pasien kusta yang teratur berobat cenderung mengalami perbaikan klinis 11,667 kali lebih besar dibandingkan yang tidak teratur berobat.
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Leprosy is one of contagious diseases that still could not be controlled by government. This illness could be divided into two types: Pausi Bacillary (PB) and Multi Bacillary (MB). There are numerous researches about the improvement rate of leprocy sufferer, it can be utilized survial analysis by modelling many factors that is expected to influence the probability of clinical repair of leprosy patients. The method which is used to that analysis, is Cox Proportional Hazard, which is limited to the constant hazard ratio. However, if it is inconstant, so it must come up with Cox Extended regression as one of the alternative method. Based on the analysis results, after 190 days for type-PB and 370 days for type MB, the probability of leprosy patients at district of Brondong, Lamongan that usually do experience clinical repair is big enough. On the other hand, after those days, many patients experienced clinical improvement and it is avowed Release from Treatment. In addition, the variable which not fulfilled the assumption of hazard proportional is the status of the patients. Then, the most significant variable that influence the clinical improvement rate is the types of Leprosy and their regularity treatment.The leprosy patients who suffer from MB type tend to have clinical improvement 0,001 smaller tahn PB type. Meanwhile, those who regularly take treatment tend to have clinical improvement 11,677 larger than they who irregularly take treatment.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Analisis Survival, Perbaikan Klinis, Pasien Kusta, Regresi Cox Extended
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HN Social history and conditions. Social problems. Social reform
Q Science > Q Science (General)
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: NURFAIN NURFAIN NURFAIN
Date Deposited: 10 Mar 2017 02:20
Last Modified: 08 Mar 2019 07:22
URI: http://repository.its.ac.id/id/eprint/3884

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