Logistic regression model likelihood

Lee, S. 2004. Application of Likelihood Ratio and Logistic Regression Models to Landslide Susceptibility Mapping Using GIS. Environmental Management 34(2) 223-232. 

Maximum Likelihood Estimation in the Logistic Regression Model... 

The frequentist approach to estimation in the logistic regression model would be to find the maximum likelihood estimators. They would be the simultaneous solutions of... 

Haines et al. (47) suggested including the criterion Bayesian D-optimality, which maximizes some concave function of the information matrix, which in essence is the minimization of the generalized variance of the maximum likelihood estimators of the two parameters of the logistic regression. The authors underline that toxicity is recorded as an ordinal variable and not a simple binary variable, and that the present design needs to be extended to proportional odds models. 

Also the results of the analysis of deviance and the likelihood ratio test of the significance of the regression coefficients were positive for this model. Thus we can say that our model, created by the multidimensional logistic regression, is suitable to predict the morbidity of the patients who undergo the open surgeries of colon in The Faculty Hospital Ostrava. 

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