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The lm function name stands for "linear model." Linear regression is a subset of techniques called general linear models. Interpreting the Results The summary command displays just the basic results ...
R is a free computing and graphical software/environment for statistical analysis. Part III of this short course consists of 3 sections: Section 5 introduces the concept of generalized linear models.
Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.
This paper provides a systematic analysis of identification in linear social interactions models. This is a theoretical and econometric exercise as the analysis is linked to a rigorously delineated ...
R. W. M. Wedderburn, On the Existence and Uniqueness of the Maximum Likelihood Estimates for Certain Generalized Linear Models, Biometrika, Vol. 63, No. 1 (Apr., 1976), pp. 27-32 Free online reading ...