• Recurrent Neural Networks for Complex Survival Problems 

      Marthin, Pius Sindiyo (Fen Bilimleri Enstitüsü, 2023)
      In this study, we introduce a novel deep learning technique (CmpXRnnSurv_AE) that obliterates the limitations imposed by traditional approaches and addresses the limitations of the existing deep learning systems to jointly ...
    • Yaşam Çözümlemesinde Aykırı Değerler 

      Tuncer, Nuray (Fen Bilimleri Enstitüsü, 2014)
      Survival analysis is a collection of statistical methods for analyzing data where the outcome variable is the time until the occurrence of an event of interest. Outliers are the individuals whose survival time is not ...
    • Yaşam Çözümlemesinde Eş Zamanlı Yaşam Süreleri 

      Keskin, Sena (Fen Bilimleri Enstitüsü, 2015)
      Survival analysis is generally defined as a set of methods for analyzing data where theoutcome variable is the time until the occurrence of an event of interest.
    • Yaşam Çözümlemesinde Zayıflık Modelleri 

      Yeğen, Diren (Fen Bilimleri Enstitüsü, 2015)
      The subject of survival analysis is the status of an event, whether it takes place or not in an observation process. Various statistical methods differ than classical methods have been used in survival analysis.The Cox ...
    • Yaşam Verilerinin Meta Analizi 

      Yeniay, Hatice (Fen Bilimleri Enstitüsü, 2013)
      Nowadays, with the increasing number of studies, it is conferred that many studies conducted with different samples on the same topic, have different results from each other. Meta analysis is the statistical method which ...