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العنوان
Application of Different Biostatistical Methods in Biological Data Analysis
/
المؤلف
Gouda, Hagar Fathi.
هيئة الاعداد
باحث / هاجر فتحي جودة
مشرف / خيري محمد البيومي
مشرف / محمود صلاح الطرباني
مشرف / فاطمة دسوقي محمد.
الموضوع
data analysis. Biostatistics.
تاريخ النشر
2019.
عدد الصفحات
178 p. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
البيطري
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة الزقازيق - كلية الطب البيطرى - تنمية الثروة الحيوانية
الفهرس
Only 14 pages are availabe for public view

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Abstract

The present study was implemented on three datasets:
A. The first one (the genetic data) obtained from previous study that was applied on group of patients from Faculty of Medicine, Zagazig University Hospital, Egypt between January 2016 and December 2016, some individuals had hepatitis C virus with complication of metastatic carcinoma, while others without metastatic carcinoma. Some patients had uninodular others multinodular carcinoma. Individuals under study were differ in age and of both sexes, and were of different genotype structure.
from this study, the results were summarized as follow:
1. Logistic regression is suitable in prediction of binary coded outcome variable, and could be used effectively in genetic data analysis.
2. Metastasis of hepatocellular carcinoma affected by genotype of patients and has more occurrence in males than females. Age of patients hasn’t significant effect on metastasis.
3. Hardy-Weinberg equilibrium is suitable in studying disease as well as its role in studying control cases when a disease condition is of interest, as the control not represent correctly the general population. Disease condition can be acquired or genetic and Hardy-Weinberg is used to test if these diseases are inherited or not.
4. The genotype distribution in HCC with uninodular tumor, metastatic and non-metastatic is consistent with Hardy-Weinberg equilibrium, while HCC with multinodular cases greatly departed from Hardy-Weinberg equilibrium, so it may be attributed to small sample size.