Inference and Model Assessment for GLMs

Explain the concept of deviance in a GLM and its role in measuring goodness of fit.

Describe the Wald, Deviance (Likelihood Ratio), and Score tests for hypothesis testing on GLM coefficients.

Compare the practical and theoretical differences between the Wald, Deviance, and Score tests.

Interpret the standard output of a fitted GLM, including coefficient estimates, standard errors, and test statistics.

Assess overall model fit using the deviance and the goodness-of-fit chi-squared test.

Use residual diagnostics (e.g., Pearson, deviance residuals) to check for model misspecification and influential points.