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Appendix B: Generalized Linear Mixed Model Theory
B.1 Introduction. 563
B.2 Formulation of the Generalized Linear Model 563
B.2.1 Essential Background. 563
B.2.2 Required Elements of the Generalized Linear Model 564
B.2.3 Estimating Equations for the Generalized Linear Model 565
B.2.4 Quasi-Likelihood. 566
B.3 Formulation of the Generalized Linear Mixed Model 566
B.3.1 Pseudo-Likelihood Estimating Equations. 566
B.3.2 Inference about Fixed and Random Effects. 567
B.4 Conditional versus Marginal Models and Inference Space. 569
B.5 Integral Approximation. 572
B.5.1 Adaptive Quadrature. 573
B.5.2 Laplace Approximation. 573
B.5.3 Integral Approximation or Pseudo-Likelihood: Pros and Cons. 574
Appendix A gave on overview of the ...