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Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer
Joint Authors
Mihrdad, Nida
Afshar, Hadi Lotfnezhad
Olfatbakhsh, Asiie
Sadoughi, Farahnaz
Source
Iranian Red Crescent Medical Journal
Issue
Vol. 18, Issue 3 (31 Mar. 2016), pp.1-8, 8 p.
Publisher
Publication Date
2016-03-31
Country of Publication
United Arab Emirates
No. of Pages
8
Main Subjects
Abstract EN
Background: Advances in treatment options of breast cancer and development of cancer research centers have necessitated the collection of many variables about breast cancer patients.
Detection of important variables as predictors and outcomes among them, without applying an appropriate statistical method is a very challenging task.
Because of recurrent nature of breast cancer occurring in different time intervals, there are usually more than one variable in the outcome set.
For the prevention of this problem that causes multicollinearity, a statistical method named canonical correlation analysis (CCA) is a good solution.
Objectives: The purpose of this study was to analyze the data related to breast cancer recurrence of Iranian females using the CCA method to determine important risk factors.
Patients and Methods: In this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to Breast Cancer Research Center (Tehran, Iran) were analyzed anonymously.
SPSS and NORM softwares (2.03) were used for data transformation, running and interpretation of CCA and replacing missing values, respectively.
Data were obtained from Breast Cancer Research Center, Tehran, Iran.
Results: Analysis showed seven important predictors resulting in breast cancer recurrence in different time periods.
Family history and loco-regional recurrence more than 5 years after diagnosis were the most important variables among predictors and outcomes sets, respectively.
Conclusions: Canonical correlation analysis can be used as a useful tool for management and preparing of medical data for discovering of knowledge hidden in them.
American Psychological Association (APA)
Sadoughi, Farahnaz& Afshar, Hadi Lotfnezhad& Olfatbakhsh, Asiie& Mihrdad, Nida. 2016. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal،Vol. 18, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-679256
Modern Language Association (MLA)
Sadoughi, Farahnaz…[et al.]. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal Vol. 18, no. 3 (Mar. 2016), pp.1-8.
https://search.emarefa.net/detail/BIM-679256
American Medical Association (AMA)
Sadoughi, Farahnaz& Afshar, Hadi Lotfnezhad& Olfatbakhsh, Asiie& Mihrdad, Nida. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal. 2016. Vol. 18, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-679256
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7-8
Record ID
BIM-679256