Assessing and adjusting for missing data in longitudinal studies



Organised by:

University of Manchester


Prof Ian Plewis


Intermediate (some prior knowledge)


Claire Spencer, 0161 275 1980,


View in Google Maps  (M13 9PL)


Basement lab
Cathie Marsh Institute
Humanities Bridgeford street
University of Manchester


It is intended that students attending the course will be able to assess the implications of non-response for different kinds of datasets that they might use.  Students new to longitudinal data should consider taking the CMIST short course running immediately before this one. The course will not cover multiple imputation in any detail and students particularly interested in this topic should take one of the other specialist NCRM courses.

The course begins with a general overview of methods for handling missing data. It is followed by an introduction to response propensity models and their use in constructing non-response weights; this is linked to a practical session using data from the National Child Development Study (NCDS). After lunch, there is a session on how to estimate R (for representativity) indicators and Receiver Operating Characteristic (ROC) curves for assessing bias and prediction; this is linked to a practical session using data from the Millennium Cohort Study (MCS). The day concludes with a session on assessing missingness with repeated measures data.

This course will run from 10am- 4pm


£30 per day for UK/EU registered students
£60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
£220 per day for all other participants.

Website and registration:


North West


Longitudinal Research , Nonresponse , Stata

Related publications and presentations:

Longitudinal Research

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