Origin of logistic regression. Basic notions, concepts.
Logit analysis of Contingency tables-part 1. Basic theory and introduction.
Logit analysis of Contingency tables-part 2. Logit analysis for two, three, four - way tables.
Binary logistic model - part 1. Basic notions and special cases of the logistic model.
Binary logistic model - part 2. Estimation of the logistic model, general principles.
Binary logistic model - part 3. Model with interaction terms, modeling strategy guidelines.
Binary logistic model - part 4. Coding and estimation, detailed outputs, confidence intervals.
Binary logistic model - part 5. Estimation and detailed outputs, assessing interaction, goodness of fit, statistics measuring predictive power, other methods of model evaluation and validation.
Ordinal Logistic Regression Model - part 1. Basic notions and theory, ordinal versus multiple standard logistic regression.
Ordinal Logistic Regression Model - part 2. The proportional odds model, odds ratio and confidence intervals, extending of the ordinal model.
Ordinal Logistic Regression Model - part 3. Model estimation and evaluation.
Multinomial Logistic Regression Model - part 1. Basic notions and theory, estimation with CATMOD.
Multinomial Logistic Regression Model - part 2. Model estimation and evaluation.
Predictive modelling based on logistic regression.
Logistic model estimation and evaluation in R.
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