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 > (S1) Undergraduate Theses
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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