Regresi Cox Extended Untuk Memodelkan Ketahanan Hidup Penderita Kanker Serviks Di RSUD DR. Soetomo Surabaya

Afifah, Arina Nur (2016) Regresi Cox Extended Untuk Memodelkan Ketahanan Hidup Penderita Kanker Serviks Di RSUD DR. Soetomo Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kanker serviks adalah salah satu kanker penyebab kematian
tertinggi di negara berkembang termasuk Indonesia.
Keberhasilan penanganan kanker serviks salah satunya dapat
dilihat dari probabilitas ketahanan hidup kanker serviks. Untuk
mengidentifikasi probabilitas ketahanan hidup suatu objek,
digunakan analisis survival dengan memodelkan faktor-faktor
yang diduga berpengaruh terhadap probabilitas ketahanan
hidup. 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 regresi Cox extended.
Berdasarkan hasil analisis, probabilitas ketahanan hidup
penderita kanker serviks di RSUD dr. Soetomo selama 1 tahun
masih di atas 75%. Setelah 5 bulan pertama penderita kanker
serviks cenderung mengalami penurunan kondisi. Variabel
stadium kategori 4 tidak memenuhi asumsi proportional hazard.
Variabel yang signifikan mempengaruhi ketahanan hidup 1 tahun
penderita kanker serviks di RSUD dr. Soetomo adalah stadium
(4), jenis pengobatan berupa kemoterapi dan transfusi PRC dan
adanya komplikasi pada penderita. Hazard Ratio dari variabel
stadium (4) berubah-ubah bergantung pada waktu sedangkan
variabel jenis pengobatan 4 sebesar 2,222 dan komplikasi
sebesar 14,223.
==================================================================================================================
Cervical cancer is one of the highest death causes in
developing countries, including Indonesia. One of successfuly
handling of cervical cancer can be seen from the probability of
survival of cervical cancer. To identify the probability of survival
of an patient is used survival analysis to modelling the factors
which influence the probability of survival. The method can be
used in survival analysis is Cox proportional hazard models were
limited to a hazard ratio constant. This analysis is used extended
cox model because indicated that the stage of disease have not
constant hazard ratio.. Based on the analysis, the probability of
survival of cervical cancer patients in dr. Soetomo for 1 year is
still above 75%. After the 5th months of cervical cancer patients
are likely to experience deterioration. The stage of disease
categories 4 does not meet the proportional hazards assumption.
Variables that significantly affect 1-year survival of cervical
cancer patients in dr. Soetomo is the stadium (4), the type of
treatment such as chemotherapy and transfusions PRC and
complications in patients. Hazard Ratio of variable stage (4)

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.546 Afi r
Uncontrolled Keywords: Analisis Survival, Hazard Ratio, Kanker Serviks, Regresi Cox Extended.
Subjects: H Social Sciences > HA Statistics
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Users 13 not found.
Date Deposited: 13 Jun 2017 02:43
Last Modified: 26 Dec 2018 03:41
URI: http://repository.its.ac.id/id/eprint/41611

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