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:: Volume 6, Issue 4 (Vol.6, No.4,winter 2019) ::
J Neyshabur Univ Med Sci 2019, 6(4): 94-104 Back to browse issues page
Applying logistic model on breast cancer metastatic with missing data : penalized profile likelihood
Forough Jamshidi Ms , Enayatollah Bakhshi Dr * 1, Samaneh Hosein Zadeh Dr , Soudabeh Shahid Sales Dr
1- , e.bakhshi@uswr.ac.ir
Abstract:   (744 Views)
Introduction
Breast cancer is one of the most common and worrisome diseases among women all over the world which becomes more difficult with localized relapses and metastases in this disease and the chance of survival is reduced. therefore the effect of various factors on the incidence of metastases can have an important role in the treatment and prevention of disease progression.
Materials and Methods
In this study, 1959 women with breast cancer who referred to Omid Hospital in Mashhad from 2001 to 2011 were selected and evaluated. To analyze the data, after the imputation of missing data, the method of penalized profile likelihood was used and data analysis was done in the software R.
Results
The results of the analysis showed that family background, clinical stage, Her2 protein, and T (tumor size) variables had a significant effect on the incidence of metastasis in breast cancer patients.
Conclusion
According to the results, the stage code and her2 variables, tumor size and family history in all conditions of analysis had a significant effect on the incidence of metastasis in patients with breast.
Keywords: penalized profile likelihood, logistic regression, missing values, breast cancer, metastasis
Full-Text [PDF 1024 kb]   (193 Downloads)    
Type of Study: Orginal Article | Subject: Biostatistics
Received: 2018/03/19 | Revised: 2019/02/19 | Accepted: 2018/05/20 | ePublished ahead of print: 2019/02/7 | Published: 2019/02/6 | ePublished: 2019/02/6
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jamshidi F, Bakhshi E, Hosein Zadeh S, Shahid Sales S. Applying logistic model on breast cancer metastatic with missing data : penalized profile likelihood. J Neyshabur Univ Med Sci. 2019; 6 (4) :94-104
URL: http://journal.nums.ac.ir/article-1-508-en.html


Volume 6, Issue 4 (Vol.6, No.4,winter 2019) Back to browse issues page
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