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 ...

Catalog : MATH.2210 Introduction to Linear Algebra (Formerly 92.221) MATH.2210 — Undergraduate Id: 008281 Offering: 1 Credits: 3-3 Description Elementary set theory and solution sets of systems of ...

This introductory data analysis course uses matrix algebra to represent the linear models that used to model differences between experimental units. Introduction to Linear Models and Matrix Algebra ...

14 Introduction to regression models Concepts The slope and intercepts we compute in a regression model are statistics calculated from the sample data. They are point estimates of corresponding ...

James Fennessey, The General Linear Model: A New Perspective on Some Familiar Topics, American Journal of Sociology, Vol. 74, No. 1 (Jul., 1968), pp. 1-27 ...

Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals. Model choice, fitting and validation.

An introduction to the theory and application of generalised linear models for the analysis of continuous, categorical and count data, and regression models for survival data.