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Modelling Right-Censored Data with Partially Linear Model and Feed Forward Neural Networks: A Methodological Study
Sağdan-Sansürlü Verilerin Kısmi Doğrusal Model ve İleri Beslemeli Yapay Sinir Ağları ile Modellenmesi: Metodolojik Bir Çalışma
2022
Turkiye Klinikleri Journal of Biostatistics
Sağdan-Sansürlü Verilerin Kısmi Doğrusal Model ve İleri Beslemeli Yapay Sinir Ağları ile Modellenmesi: Metodolojik Bir Çalışma
Censored data arises in different fields such as medical, biology, public health, epidemiology, engineering, economics and, so on. Observations obtained from mentioned fields are usually incomplete, especially in medical studies. For instance, some patients may still be alive, disease-free, or die at the completion of a medical study. Thus, analysis of censored survival data becomes a common problem in the literature.
doi:10.5336/biostatic.2022-89354
fatcat:fwjwckfhpvgujmnfryss33v47e