MAS474   Extended Linear Models   (10 credits)

Description

The module will further develop the general theory of linear models, building on theory taught in L3. The first extension is to the use of mixed-effects models for situations in which variation arises from several sources: from different life-style choices, for example, in relation to patients' responses to medical treatment, or from variations in field fertility as well as local micro-climate in the growth of crops. The second extension is to the case of linear modelling with partially observed or missing data, and imputation methods for making full use of the available data. The methods will be implemented using R.

Reading List