Weighted Estimation in Cox Regression Model: An Application to Breast Cancer Data

Nihal ATA; Haydar DEMİRHAN

Makale detayları

Weighted Estimation in Cox Regression Model: An Application to Breast Cancer Data

Yazarlar:

Nihal ATA | Haydar DEMİRHAN

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Gazi University Journal of Science 2013 Vol.26 Issue 1, pp.63-72

Belge Tipi:

Makale

Yayın Tarihi:

3/2013

Belge Dili:

İngilizce

Document ID (Org No.):

2000429240

eISSN:

2147-1762

Özet:

 


Cox regression is a well-known approach for modeling censored survival data. However, the model has an assumption of proportional hazards which requires an attention. In this study, we examine weighted estimation in Cox regression model under nonproportional hazards. Our aim is to propose various weighting functions that are more appropriate than existing ones. The proposed and existing weighting functions are applied to a data set in breast cancer in order to analyze their effects on the analysis results. In order to analyze the performance and effect of proposed and existing weighting functions, a wide simulation study, covering different censoring rates and tied observations, is carried out.

 

Keywords:Cox regression model, Log-rank tests, Nonproportional hazards, Weighted estimation.

 

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Makale detayları

Weighted Estimation in Cox Regression Model: An Application to Breast Cancer Data

Yazarlar: Nihal ATA | Haydar DEMİRHAN

Yayıncı: Gazi University

Ana Başlıklar: Uygulamalı fizik

Dergi: Gazi University Journal of Science 2013 Vol.26 Issue 1, pp.63-72

Belge Tipi: Makale

Yayın Tarihi: 3/2013

Belge Dili: İngilizce

Document ID (Org No.): 2000429240

eISSN: 2147-1762

Sayı

Yazarlar:

Nihal ATA | Haydar DEMİRHAN

Yayıncı:

Gazi University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Gazi University Journal of Science 2013 Vol.26 Issue 1, pp.63-72

Belge Tipi:

Makale

Yayın Tarihi:

3/2013

Belge Dili:

İngilizce

Document ID (Org No.):

2000429240

eISSN:

2147-1762