Project 003

Project Title:

A study of the non-match rates to assess the magnitude and implications of any systematic biases in the non-linkage rates

Researcher(s):

Dermot O’Reilly, Mr. Michael Rosato, Dr. Sheelah Connelly

Organisation(s):

Queen’s University, Belfast

Database:

NIMS

Project Summary:

In societies which do not have universal registration systems for monitoring demographic change it is not normally possible to accurately study the process of linking population and mortality data. The NI-LS is unique within the United Kingdom in that it affords such a possibility. The study links the 2001 Census returns to all deaths registered in Northern Ireland in the five years after the Census, with the characteristics of matched and non-matched death records compared using multivariate logistic regression. The attributes of the subjects included in the analysis are as recorded on the death certificate.  

Publications to date:

O'Reilly, D., Rosato, M., and Connolly, S. (2008)  Unlinked vital events in census-based longitudinal studies can bias subsequent analysis. J Clin Epidemiol, 61(4):380-5.

 

We are very pleased to announce the new version of our data dictionary interface featuring: full variable information, advanced search options and the ability to save your own variable lists between sessions. We would greatly appreciate your thoughts on the new system so please find out more...

RECENT NEWS

Latest News

WHAT'S ON AT QUEEN'S

There currently are no upcoming events for What's on at Queen's.

UPCOMING EVENTS