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Introduction to Generalized Linear Models Annette .J. Dobson, Annette J. Dobson
Publisher: Chapman & Hall

Diggle PJ, Heagerty P, Liang K, Zeger SL: Analysis of Longitudinal Data. Estimating the parameters in alogistic regression model,Interpretation of the parameters in logistic regression model,Hypothesis tests on model parameters - The Generalized Linear Models (GLIM): Link functions and linear predictors, Parameter estimation and inference in the GLM - AN INTRODUCTION TO NON LINEAR ESTIMATION,Linear regression models,Non linear regression models,Least squares for non linear models. Introduction to Generalized Linear and Generalized Linear Mixed Models (Florian Jaeger). Since their introduction in 1972, generalized linear models (GLMs) have proven useful in the generalization of classical normal models. Univariate and multivariate generalized linear mixed models were applied to country-level data collected by the World Bank and World Health Organization. Gerstl S, Cohuet S, Edoh K, Brasher C, Lesage A, Guthmann JP, Checchi F: Community coverage of an antimalarial combination of artesunate and amodiaquine in Makamba Province, Burundi, nine months after its introduction. In this paper, both generalized linear and generalized additive mixed models are proposed to assess the climatic factors that are the highly associated with monthly malaria incidence in Burundi. An Introduction to Generalized Linear Models, Second Edition. Oxford: Oxford University Press; 2002. Generalized Linear Models: Books - Statistical Science Web Generalized Linear Models. Lunch (provided for registered participants). Dobson A: An Introduction to Generalized Linear Models. Florida: Chapman & Hall/CRC; 2002.