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This book is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. This volume has seven chapters also organized in four parts. The first three parts cover models for categorical responses, including binary, ordinal, and nominal (a new chapter); models for count data; and models for survival data, including discrete-time and continuous-time (a new chapter) survival responses. The final part describes models with nested and crossed-random effects with an emphasis on binary outcomes.

Programming --- Mathematical statistics --- Latent variables --- Latent structure analysis --- #SBIB:303H520 --- #SBIB:303H4 --- Correlation (Statistics) --- Multivariate analysis --- Constructs, Hypothetical --- Hypothetical constructs --- Variables, Latent --- Variables (Mathematics) --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Informatica in de sociale wetenschappen --- Latent structure analysis. --- Latent variables. --- Linear models (Statistics) --- Multilevel models (Statistics) --- Basic Sciences. Mathematics --- Data processing. --- Mathematical Models, Simulation Models --- Stata. --- Linear models (Statistics). --- Multilevel models (Statistics). --- Mathematical Models, Simulation Models. --- Hierarchical linear models (Statistics) --- Mixed effects models (Statistics) --- Random coefficient models (Statistics) --- Variance component models (Statistics) --- Mathematical models --- Regression analysis --- Models, Linear (Statistics) --- Statistics --- Data processing