Multivariate Generalized Linear Mixed Models Using R

Multivariate Generalized Linear Mixed Models Using R

Berridge, Damon Mark; Crouchley, Robert

Taylor & Francis Ltd

10/2024

304

Mole

9781032922805

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Introduction. Generalized Linear Models for Continuous/Interval Scale Data. Generalized Linear Models for Other Types of Data. Family of Generalized Linear Models. Mixed Models for Continuous/Interval Scale Data. Mixed Models for Binary Data. Mixed Models for Ordinal Data. Mixed Models for Count Data. Family of Two-Level Generalized Linear Models. Three-Level Generalized Linear Models. Models for Multivariate Data. Models for Duration and Event History Data. Stayers, Non-Susceptibles, and Endpoints. Handling Initial Conditions/State Dependence in Binary Data. Incidental Parameters: An Empirical Comparison of Fixed Effects and Random Effects Models. Appendices. Bibliography.
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Multivariate Generalized Linear Mixed Models;Adaptive Quadrature;log;Dummy Variables;likelihood;Generalized Linear Models;explanatory;Times Log Likelihoods;variables;Random Intercept;random;Parameter Estimates;effects;Explanatory Variables;adaptive;Mixed Generalized Linear Model;quadrature;Mixed Poisson Model;parameter;Binary Response Model;estimate;Linear Predictor;Poisson Model;Ordered Response Models;Random Effects Model;Trade Union Membership;Interval Scale Data;Multi-level Data;Binary Response;Probit Model;Cumulative Distribution Function;Residual Degrees;Incidental Parameters;Intraclass Correlation;Psychological Distress Score