Discrete mixture modeling to address genetic heterogeneity in time-to-event regression

• Published in: Bioinformatics (Oxford, England) Vol. 30; no. 12; pp. 1690 - 1697
• Main Authors: Eng, Kevin H., Hanlon, Bret M.
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.06.2014
• Subjects: Algorithms; Cluster Analysis; DNA Repair; Epidermal Growth Factor; Epiregulin; Female; Gene Expression; Genetic Heterogeneity; Humans; Models, Genetic; Models, Statistical; Original Papers; Ovarian Neoplasms - genetics; Ovarian Neoplasms - metabolism; Ovarian Neoplasms - mortality; Regression Analysis; Survival Analysis

Motivation: Time-to-event regression models are a critical tool for associating survival time outcomes with molecular data. Despite mounting evidence that genetic subgroups of the same clinical disease exist, little attention has been given to exploring how this heterogeneity affects time-to-event m...