Comparison of Bayesian, Frequentist and Machine learning models for predicting the two-year mortality of patients diagnosed with squamous cell carcinoma of the oral cavity

• Main Authors: Sachit Ganapathy (Author), K.T. Harichandrakumar (Author), Prasanth Penumadu (Author), Kadhiravan Tamilarasu (Author), N. Sreekumaran Nair (Author)
• Format: Book
• Published: Elsevier, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background: Statistical models developed in frequentist and Bayesian context along with machine learning algorithms can encompass the multifactorial effect of the prognostic factors in predicting the outcome. This paper is aimed to compare the effect estimates and predictive performance of Bayesian,...