STP80120 – Advanced Linear Models 2

Module Code	STP80120
Module Name	Advanced Linear Models 2
ECTS Weighting	5 ECTS
Semester taught	Semester 2
Module Coordinator/s	Dr Gabriel Palma

Module Learning Outcomes

Distinguish between various approaches to estimating linear regression and linear mixed models, and identify how estimation approaches can be determined by the underlying theory of the model;
Identify hierarchical structures in datasets, formulate the appropriate statistical linear mixed model to analyse the data, implement using statistical software as appropriate and interpret fitted models;
Develop and implement non-parametric modelling approaches using statistical software as appropriate.;

Module Content

This module will cover the theory of linear regression and linear mixed models and their estimation methods; modelling repeated measures over time; various random effects models, including single random effects, multiple random effects, and random coefficient models; and non-parametric modelling approaches, to include splines and bootstrapping. An emphasis will be placed on learning how to implement these techniques using R or other statistical software.

Teaching and learning Methods

Online module consisting of 4 weekly sessions. Live tutorial sessions each week. All learning takes place through Blackboard.

Assessment Details

Assessment Component	Brief Description	Learning Outcomes Addressed	% of total	Week set	Week Due
Final Exam	Take-home 2-hour exam	All	100%	NA	NA

Reassessment Details

Take-home 2-hour exam, 100%.

Contact Hours and Indicative Student Workload

Contact Hours (lectures, labs, tutorials, meetings, etc.)	30
Independent study (outside scheduled contact hours), broken down by:	50
Preparation for classes and review of material (including preparation for examination, if applicable	20
completion of assessments (including examination, if applicable)	25
Total Hours	125

Module Pre-requisites

ST8003, STP80110

Module Co-requisites

N/A

Module Website

Blackboard