This unit develops basic computer-intensive statistical methods. I with the main emphasis again being on application of techniques to problems which arise in business and industry. The computing aspect of the unit will involve the use of a programming package. This unit introduces a range of statistical concepts in the design and analysis of epidemiologic studies. The first part of the unit presents an insight into the main types of study designs - cross sectional surveys, case control studies, cohort studies and randomised control trials.
Attention is given to the role of matching in the design of case-control studies.
The concept of repeated measurements will be addressed and simple methods of summarising and analysing such data are discussed. The second part of the unit introduces the statistical methods and modelling techniques used in analysing data derived from various epidemiological design strategies. Students will use the statistical package SAS throughout the unit. This unit aims to integrate a basic understanding of how financial markets work with the analytic tools for modelling their time dependent structures. Where feasible, analytic methods will be developed, while computer simulation will be used to provide answers in intractable situations.