Topic: Testing Fixed and Random Effects

ML and REML Comparisons for Random-Effect Structures

ML and REML for Fixed-Effect Model Comparisons

Likelihood-Ratio Test for a Random-Intercept Variance

Interpreting P-Values from Mixture Distributions

Joint Wald Tests for Blocks of Coefficients

Finite-Sample Calibration of Boundary Tests

Fixed-Effect Tests with Sparse Binary Outcomes

Distinguishing Zero Variance from Weakly Identified Variance

Deriving the Wald Statistic from a Quadratic Likelihood

Diagnosing Miscalibrated Tests Through Simulation