Logistic Regression Homework Help l Project l Assignment
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Logistic model construction
- Derivation of the binary logistic model
- Interpreting odds ratios as risk ratios – criteria
- Link tests, partial residual plots
- Model-building strategies
- Standard errors: scaling, bootstrap, jackknife, robust
- Stepwise methods, missing values, constrained coefficients, etc construction and interpretation of interactions
Analysis, fit, and interpretation of the logistic model
- The goodness of fit tests
- Information criterion tests
- Residual analysis