Module description

The module will introduce students to both the academic and practical aspects of traditional methods of drawing archaeological finds. The...

Archaeological Illustration and Imaging (ARCL0036)

Innovation and Enterprise|Medicine|Subjects Allied to Medicine

The module will develop your understanding of the route to market for different medical innovations. It will provide you with an understanding of the peer...

Medical Innovation and Enterprise II (SURG0118)

The module will develop your understanding of the route to market for different medical innovations. It will provide you with an understanding of the peer review process, grant applications and how funding for translation is obtained. You will acquire a knowledge of intellectual property protection of medical innovations. As part of this module, you will review and judge the commercial viability of different medical innovation ideas from case studies based on Innovate UK Biomedical Catalyst. The module will provide you with the knowledge and skills required for the year 3 business plan competition and will impart relevant knowledge for the progression of medical innovation ideas and commercialisation pathways.

Aims - This module aims to introduce the theory of linear and generalised linear / additive models and associated data analysis. It is primarily intended for...

Statistical Models and Data Analysis (STAT0028)

Aims - This module aims to introduce the theory of linear and generalised linear / additive models and associated data analysis. It is primarily intended for students registered on the Masters degree programmes offered by the Department of Statistical Science, or jointly with other departments.

Objectives - On successful completion of the module, a student should have an understanding of the exponential family of distributions and their use in the formulation of generalised linear / additive models, and should be able to interpret the results of fitting such models in both a technical and non-technical manner.

Applications - The statistical methods introduced in STAT0028 are very general, and they are used in almost all areas in which statistics is applied. In the module, we will analyse data sets from, among other areas, industrial quality control, astronomy, social sciences, and biology.

Content - Multiple Linear Regression: inference techniques for the General Linear Model, applications, variable selection. Generalised Linear Models: structure incorporating an introduction to the exponential family of distributions, inference procedures. Categorical data: special cases of generalised linear models leading to logistic regression and log-linear models, use in data analysis. Introduction to non-linear modelling, mixed modelling, generalised estimating equations. Introduction to Generalised Additive Models: penalised regression splines and penalised estimation. STAT0030 gives students the computing skills to implement the methodology discussed in this module. 

Key texts - Available from ReadingLists@UCL.