Application of Logistic Regression for Incidence of Breast Cancer Among Sudanese Females 2005 - 2008
| العنوان المترجم: |
Application of Logistic Regression for Incidence of Breast Cancer Among Sudanese Females 2005 - 2008 |
|---|---|
| المصدر: | مجلة الجزيرة للعلوم الاقتصادية والاجتماعية |
| الناشر: | جامعة الجزيرة - عمادة الدراسات العليا والبحث العلمي |
| المؤلف الرئيسي: | Alhadi, Eman Obeid Mohammed (Author) |
| مؤلفين آخرين: | Ahmed, Adel Ali (Co-Author) |
| المجلد/العدد: | مج4, ع1,2 |
| محكمة: | نعم |
| الدولة: |
السودان |
| التاريخ الميلادي: |
2013
|
| الصفحات: | 1 - 24 |
| ISSN: |
1858-6023 |
| رقم MD: | 929250 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink |
| مواضيع: | |
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| المستخلص: |
This paper aimed at application of logistic regression model to the data of Sudanese females living with breast cancer with reference to Gezira State, the logistic regression method has been used to study breast cancer situation through a sample of 110 patients. The study basically depended on secondary data collected from the National Cancer Institute (NCI) , the data covered the period (2005- 2008). Research methodology included chi-square test to know characteristics of the variables of the study population. The results that the tribe, the stage of illness and marital status are the most statistically significant variables. Multiple logistic regression models are applied in two parts, first part contains all the variables in this research, and the second contains significant variables. The study showed that single women who have breast cancer are more likely to die of breast cancer than women who are married, and women in the late stage are more likely to die of breast cancer than those who are in early stage. The research recommended that, there must be assessment for the current situation of the breast cancer so as to construct strategic plan to stop or eradicate the spread among people. Also case-control data used in this research, together with the cancer registry data, can be used to construct such models of absolute risk. |
|---|---|
| ISSN: |
1858-6023 |
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