This course will introduce linear, generalized linear and time-to-event regression models that are commonly used in epidemiologic research, community needs assessment and public health program/policy ...

When the independent variables in a linear regression are highly correlated, model fitting issues and ... users of all experience levels to perform advanced statistical analysis.

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, ...

Linear regression models the relationship between a dependent and independent variable(s). A linear regression essentially estimates a line of best fit among all variables in the model.

Linear regression takes the logic of the correlation coefficient and extends it to a predictive model of that relationship. Some key advantages of linear regression are that it can be used to predict ...

id=8714) 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 ...

Linear and logistic regression models are essential tools for quantifying the relationship ... These models also form the building blocks for more advanced statistical techniques taught in other short ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...