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Journals / Alphanumeric Journal / 2019 / Cilt: 7 - Sayı: 2

Buckley-James Model in Survival Analysis

Yaşam Çözümlemesinde Buckley-James Modeli

Burcu ÖZCAN
Durdu KARASOY
Pages
485–496
Publication Date
2019-12-31
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Using this model risk factors affecting survival time of breast cancer is determined.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Cox proportional hazards model is the most common one in survival analysis.
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Key Findings & Data:Buckley-James model can be offered as an alternative to Cox proportional hazards model.
💡
Conclusion & Impact:Using this model risk factors affecting survival time of breast cancer is determined.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Buckley-James yöntemi · yaşam çözümlemesi · Cox orantılı tehlikeler modeli

Abstract

Cox proportional hazards model is the most common one in survival analysis. Buckley-James model can be offered as an alternative to Cox proportional hazards model. While Buckley-James model is focused on calculation of the expected value of the survival time, Cox proportional hazards model focuses on the relative risk of explanatory variables on the failure event. In this study, Buckley-James model is examined, and is applied on a breast cancer data set. Using this model risk factors affecting survival time of breast cancer is determined.

Özet

Yaşam çözümlemesinde en yaygın kullanılan model Cox orantılı tehlikeler modelidir. Cox orantılı tehlikeler modeline alternatif olarak Buckley-James modeli kullanılabilir. Buckley-James modeli yaşam süresinin beklenen değerinin hesaplanmasına odaklı iken Cox orantılı tehlikeler modeli başarısız olaylar üzerinde açıklayıcı değişkenlerin göreli etkilerine odaklıdır. Bu çalışmada, Buckley-James modeli incelenmiş ve meme kanseri verilerine uygulanmıştır. Bu model kullanılarak meme kanserinde yaşam süresini etkileyen risk faktörleri belirlenmiştir.

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Cite This Article

ÖZCAN, B., KARASOY, D. (2019). Buckley-James Model in Survival Analysis. Alphanumeric Journal, Cilt: 7 - Sayı: 2, 485–496. https://ajindex.com/articles/63509

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