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Application of the Principal Components Method and the Proportional Hazards Regression Model to Analysis of Survival Data
Author(s) -
Danielyan S. A.,
Zharinov G. M.,
Osipova T. T.
Publication year - 1986
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710280114
Subject(s) - proportional hazards model , survival analysis , statistics , regression analysis , principal component analysis , regression , mathematics , oncology , medicine , computer science
One of factor analysis techniques, viz. the principal components method, and the proportional hazards regression model (Cox, 1972) are applied in this work to study the significance of various factors characterizing the patient, the disease, and the method of treatment in the survival. The application of these methods to analysis of survival data for cervical cancer patients has shown, in particular, the tumor growth rate to be the crucial factor in distribution of the patients survival time and to be even more important than the therapy characteristics.