Generalized Linear Mixed Models: Modern Concepts, Methods and Applications (Hardcover, 2)

The Big Picture. Design Matters. Setting the Stage. Estimation and Inference Essentials. Estimation Part I. Estimation Part II.

Inference, Part I: Model Effects. Inference, Part II: Covariance Components. Working with GLMMs. Treatment and Explanatory

Variable Structure. Multilevel Models. Best Linear Unbiased Prediction. Rates and Proportions. Counts. Time-to-Event Data.

Multinomial Data. Correlated Errors, Part I: Repeated Measures. Correlated Errors, Part II: Spatial Variability. Power, Sample Size,

and Planning. Appendices. References. Index.