From February 2017, information about the work of the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow is available and updated on the University of Glasgow website.

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Maximising Return from Cohort Studies:
Prevention of attrition and efficient analysis 

Report of a workshop held on Thursday 29 June 2006 at
The Royal Statistical Society, 12 Errol Street, London EC1Y 8LX
funded by
MRC Population Health Sciences Research Network

 

Alastair H Leyland

(MRC Social and Public Health Sciences Unit)

Introduction

Cohort maintenance

Pat Crawford

(UC Berkeley School of Public Health)

Prevention of attrition: keys to successful cohort maintenance

Gita Mishra

(MRC National Survey of Health and Development)

Loss and representativeness in a 53 year follow up of a national birth cohort

Nirupa Dattani

(Office for National Statistics)

Cohort management in Secondary User Services (SUS)

Louisa Blackwell

(Office for National Statistics)

LS attrition: best practice and lessons learned

Cohort maintenance summary

 

 

Methodology

Paula Diehr

(School of Public Health and Community Medicine, University of Washington)

Death and missing data in longitudinal studies: quality of life at the end of life

Jonathan Sterne

(MRC Health Services Research Collaboration)

Can methods that deal with missing data reduce bias or improve precision in analysis of longitudinal data?

Ian Plewis

(Bedford Group for Lifecourse and Statistical Studies, Institute of Education)

Incorporating information about non-response into analyses of NCDS data

Fiona Matthews

(MRC Biostatistics Unit)

Attrition and its effects examples from analysis of the MRC cognitive function and aging study

Methodology summary

 

Read the final report on the workshop.

 

Links within SPHSU:

Missing data and attrition 

Methodological issues in the DASH study