Uji Asumsi Proportional Hazard pada Faktor yang Mempengaruhi Waktu Tahan Hidup Pasien Kanker Paru

Elnatan Dimas Aditya, Sri Sulistijowati Handajani, Ririn Setiyowati


Lung cancer is the disease that its death risk always increase, because of that the survival time of its patient is interesting to be researched. One of the method that can be used to research survival time of lung cancer patient is Cox regression. It has an assumption that called proportional hazard assumption. Proportional hazard assumption can be tested by graph method that is log-log graph, but the result is only used as temporary suspicion. For a better result, the goodness of fit test can be used by calculate the correlation between rank of survival time and schoenfeld residual. The result is age variabel doesn’t satisfy proportional hazard assumption.


Keywords : cox regression; proportional hazard assumption; log-log graph; goodness of fit test.

Full Text:



Dewiyanti, L. Perluasan Regresi Cox dengan Penambahan Peubah Terikat Waktu. E-Jurnal Matematika Vol. 3, Universitas Udayana, 2014.

Hadiyah. Analisis Survival Faktor-faktor yang Mempengaruhi Ketahanan Hidup Penderita Hipertensi dengan Terapi Tablet Captopril, Institut Sepuluh November, Surabaya, 2010.

Afifah, N. Uji Proportional Hazard pada Data Penderita Kanker Serviks di RSUD dr. Soetomo Surabaya. Jurnal Sains dan Seni ITS. 2016.

Ata, N., Zoter, M. T. Cox Regression Models with Nonproportional Hazards Applied to Lung Cancer Survival Data. Hacettepe Journal of Mathematics and Statistics. 2007.

Connover, W. J. Practical Nonparametric Statistic. John Wiley and Sons. New York. 1999.

Kalbfleisch, J. D., Prentice, R., L., The Statistical Analysis Failure Time Data, John Wiley and Sons, New York, 2011.


  • There are currently no refbacks.