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Search Result For 'paper' , Result Number : 5

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Osama Abdelmoniem Ali Khashaba
- Faculty Research Area On Zu Site
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‎59.‎ Ghanem M, Al- Shorbagy AE, Khashaba UA, Sallam HEM. Mechanical behavior and failure mode of bolted ‎joints in polymeric composite materials. MEATIP4, Fourth Assiut University Int. Conf., Egypt, December 12-‎‎14, CD-Room, Paper N0. MD06, (2006).‎
Hytham Goda Mohamed Moaed
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The relationship between exposure to political content in the newspapers and satellite channels available through the social networking sites and the general mood towards the issues of the Arab world: study on the Egyptian and Saudi public
Fatma Desouky Mohamed Abdallah
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Statistical Modelling of Categorical Outcome with More than Two Nominal Categories Fatma D.M. Abdallah* Department of Animal Wealth Development, Faculty of Veterinary Medicine, Zagazig University, Egypt *Corresponding author: Nour_stat2013@yahoo.com Received August 13, 2018; Revised October 04, 2018; Accepted December 04, 2018 Abstract This paper aims to explain and apply an important statistical method used for modelling categorical outcome variable with at least two unordered categories. Logistic regression model especially multinomial logistic type (MNL) model is the best choice to model unordered qualitative data. A simulation study was done to examine the efficiency of the model in representing categorical response variable. Three explanatory variables (age, species, and sex) are used for discrimination. While the outcome variable was Rose Bengal Plate Test (RBPT) results which has four outcome categories (negative, positive, false positive, and false negative). Therefore, logit model will be utilized to model this data. MNL models were fitted using SPSS packages and parameters estimated depending on maximum likelihood (MLE) by the Newton-Raphson algorithm. This model depends mainly on two estimates to interpret the results, they are the regression coefficient and the exponentiated coefficients which known as the odds ratio. This model was a good fitted for description the data of 500 values of Rose Bengal Plate Test results of Brucella in sheep and goat species. The results showed fitting of the model to the data with highly significant likelihood ratio statistic for the overall model (P value = 0.000**). Wald test was significant for all variables in positive category and this indicated that age, species and sex are good predictors for test results. The odds ratio in case of positive category for age, species and sex was 1.589, 0.214 and 0.133 respectively. Keywords: multinomial logistic regression, odds ratio, Rose Bengal Plate Test (RBPT), maximum likelihood and pseudo R2 Cite This Article: Fatma D.M. Abdallah, “Statistical Modelling of Categorical Outcome with More than Two Nominal Categories.” American Journal of Applied Mathematics and Statistics, vol. 6, no. 6 (2018): 262-265. doi: 10.12691/ajams-6-6-7.
Ahmed Mohamed Khalil Elnel
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18 eighteen published papers
Fifi Mohamed Reda Mohamed
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