Application of Different Biostatistical Methods in Biological Data Analysis

Faculty Veterinary Medicine Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Fatma Desouky Mohamed Abdallah
Journal: Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvjz.2019.11121.1034 Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj Volume:
Keywords : Application , Different Biostatistical Methods , Biological Data    
Abstract:
Abstract Logistic regression is one of the popular methods used in genetic data analysis. That is applied to predict a categorical binary dependent variable on basis of predictor variables, and to test the probability of getting a particul
    
     
 
       

Author Related Publications

  • Fatma Desouky Mohamed Abdallah, "Application of Different Biostatistical Methods in Biological Data Analysis", Zagazig Veterinary Journal, ©Faculty of Veterinay Medicine, Zagazig University, 44511, Egypt. Volume 47, Number 2, p. XXX, June 2019 DOI: 10.21608/zvj, 2019 More
  • Fatma Desouky Mohamed Abdallah, "Statistical Modelling of Categorical Outcome with More than Two Nominal Categories", American Journal of Applied Mathematics and Statistics, 2018, Vol. 6, No. 6, 262-265 Available online at http://pubs.sciepub.com/ajams/6/6/7 ©Science , 2018 More
  • Fatma Desouky Mohamed Abdallah, "Parametric Survival Models for Predicting of Pregnancy in Friesian Cattle", International Journal of Statistics and Applications 2018, 8(3): 129-132 DOI: 10.5923/j.statistics.20180803.03, 2018 More
  • Fatma Desouky Mohamed Abdallah, "Role of Time Series Analysis in Forecasting Egg Production Depending on ARIMA Model", Applied Mathematics 2019, 9(1): 1-5 DOI: 10.5923/j.am.20190901.01, 2019 More
  • Fatma Desouky Mohamed Abdallah, "Statistical Assessment of Some Factors Affecting Calving Interval by Using Ordinal Logistic Regression in Holstein Cows", International Journal of Statistics and Applications 2017, 7(3): 192-195 DOI: 10.5923/j.statistics.20170703.05, 2017 More

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