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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