id=7745) A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

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 regression model, ...

Example: Using the full regression model, we estimate that the mean marginal maintenance and repair cost associated ... [1] Why is it valuable to be able to unravel linear relationships? Some ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

The following is a summary of “Excess Mortality and Hospitalizations Associated With Seasonal Influenza in Patients With ...