Introduction to Multiple Linear Regression (GLM I)

Date:

02/11/2017 - 03/11/2017

Organised by:

Lancaster University

Presenter:

Professor Brian Francis

Level:

Entry (no or almost no prior knowledge)

Contact:

Angela Mercer, 01524 593064 or psc@lancaster.ac.uk

Map:

View in Google Maps  (LA1 4YF)

Venue:

Department of Mathematics and Statistics
C/o Postgraduate Statistics Centre
Lancaster University
Lancaster

Description:

This is the first of two related courses that consider generalized linear models as a broad class of statistical models that can be applied to a variety of commonly encountered data analysis problems in the social and biological sciences.

This course introduces the basic linear model, extends it to the general linear model, then builds up to the concept of a generalized linear model.

The use of categorical (factor) explanatory variables, continuous covariates and their interactions to build a flexible class of relationships will be considered.

The course will also introduce the software package R as a tool for such statistical analysis.

On this course the focus is on simple linear regression and multiple linear regression where we model a continuous dependent variable. The second related course is Modelling Binary and Count data (GLM II).

Cost:

External from Industry/Commerce £540; External from academic institution/public sector/charity staff £460; External postgraduate student £300.

Website and registration:

Region:

North West

Keywords:

Generalized liner model (GLM)

Related publications and presentations:

Generalized liner model (GLM)

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