Methods for Missing Data

Date:

10/05/2017 - 11/05/2017

Organised by:

Lancaster University

Presenter:

Dr Simon Taylor

Level:

Intermediate (some prior knowledge)

Contact:

Angela Mercer, Email: a.j.mercer@lancaster.ac.uk, Tel: 01524 593064

Map:

View in Google Maps  (LA1 4YF)

Venue:

Postgraduate Statistics Centre, c/o Maths and Statistics, Faculty of Science and Technology, Lancaster, LA1 4YF, UK

Description:

This course deals with the problem of missing data common in many social surveys; problems of bias and inefficiency of naive statistical methods; alternative procedures: basics and complications; MCAR, MAR and non-ignorable missing data; selection bias and the problem of 'dropout' in panel studies. The course will also cover appropriate statistical analysis in appropriate software. The methods will be illustrated by case study analyses.

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:

Missing data

Related publications and presentations:

Missing data

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