دراسة احصائية للعوامل المؤثرة في مرض سرطان الدم "دراسة تطبيقية"

نوع المستند : المقالة الأصلية

المؤلفون

کلية التجارة - جامعة المنصورة

المستخلص

classification Single what to one
relying on the variables (recipes)
with statistical significance in the
classification process, we will
deal with classification issues
between two or more population
depending on the views
multinormal.
And it summarizes the researcher
can study the problem in the
2
following questions: - is how to identify the factors that have active and influential role in the incidence of cancer of the blood before it is too late to treat the disease can not be then؟.
As well as how it can be applied statistical methods ((Disicriminant Analysis - logistic regression analysis - neural networks) data on persons reviewers to hospitals Baghdad to curb the disease؟.
When using the three statistical methods show that the preference is for the logistic regression model because he has passed all the required quality standards, was where standards(R2,X2,Box-M,Hosmer & Lamsho,MSE,RMSE).

الموضوعات الرئيسية

المراجع

1- Agrest, Alan. et al, (1997).“ Statistical Methods for the Social Science”, Third Edition, upper Saddle River, New Jersey, P.582.
2- Fausett , L. (1994). “Fundamentals of Neural Networks Architectures, Algorithm and Application”. New York: prentice- Hall, Inc.
3- Hosmer, D.W &Lemeshow, S. (1998). “Applied Logistic Regression”.
New York. John Wiley.
4- Johnson, R. A. &Wichern, D.W. (1998). “ AppliedMultivaraite Statistical Analysis “, Prentice- Hall, INC, Englewood cliffs, New Jersey,p.594.
5- Pample, Fred C. (2000). “ Logistic Regression A primer “ ,SAGE, publication, London, p.71.
6- Shankar, T.N.(2008). “Neural Networks". UNIVERSITY SCIENCE PRESS.
7- Wayne, W. (1995). “ BIOSTATISTICS: A foundation for Analysis in the Health Science “. SIX
24
Edition, John Wiley.

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