Topic: Model Selection and Information Criteria

Worked Likelihood Ratio Tests for NLME Models

Why AIC and BIC Choose Different NLME Models

Using AIC for Non-Nested NLME Models

Testing Random-Effects Covariance Structures

Likelihood Comparisons for NLME Models

Likelihood Ratio Tests for Nested NLME Models

Information Criteria From Approximate NLME Likelihoods

Fixed-Effect Tests With ML and REML

Degrees of Freedom in Mixed-Effects Likelihood Ratio Tests

Defining Sample Size for BIC in NLME