We value your privacy

We use cookies to enhance your browsing experience, serve personalized ads or content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies.

Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Powered by Cookieyes logo

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

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:

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.

Research Team: Dermot O’Reilly, Michael Rosato and Sheelah Connelly
Database: NIMS
Project Status: Complete
Organisation(s): Queen’s University Belfast

Supported By Funding From

Get In Touch