Indonesian Journal of Applied Statistics
Vol 1, No 2 (2018)

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

Elnatan Dimas Aditya (Universitas Sebelas Maret)
Sri Sulistijowati Handajani ((SCOPUS ID: 56076576400, h index 2), Universitas Sebelas Maret)
Ririn Setiyowati (Universitas Sebelas Maret)



Article Info

Publish Date
05 Oct 2020

Abstract

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.

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Journal Info

Abbrev

ijas

Publisher

Subject

Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

Description

Indonesian Journal of Applied Statistics (IJAS) is a journal published by Study Program of Statistics, Universitas Sebelas Maret, Surakarta, Indonesia. This journal is published twice every year, in May and November. The editors receive scientific papers on the results of research, scientific ...