The University of Southampton
University of Southampton Institutional Repository

The Information in Aggregate Data

Steel, David G., Beh, Eric J. and Chambers, Ray L. (2003) The Information in Aggregate Data , Southampton, UK Southampton Statistical Sciences Research Institute 23pp. (S3RI Methodology Working Papers, M03/14).

Record type: Monograph (Project Report)

Abstract

Ecological analysis involves using aggregate data for a set of groups to make inferences concerning individual level relationships. Typically the data available for analysis consists of the means or totals of variables of interest for geographical areas, although the groups can be organisations such as schools or hospitals. Attention has focused on developing methods of estimating the parameters characterising the individual level relationships across the whole population, but also in some cases the relationships for each of the groups.
Applying standard methods used to analyse individual level data, such as linear or logistic regression or contingency table analysis, to aggregate data will usually produce biased estimates of individual level relationships. Thus much of the effort in ecological analysis has concentrated on developing methods of analysing aggregate data that can produce unbiased, or less biased, parameter estimates. There has been less work done on inference procedures, such as constructing confidence intervals and hypothesis testing. Fundamental to these inferential issues is the question of how much information is contained in aggregate data and what evidence such data can provide concerning important assumptions and hypotheses.

PDF 8164-01.pdf - Other
Download (245kB)

More information

Published date: 2003

Identifiers

Local EPrints ID: 8164
URI: http://eprints.soton.ac.uk/id/eprint/8164
PURE UUID: 92533a53-b0be-4c3d-9c98-c5326b6d2f54

Catalogue record

Date deposited: 11 Jul 2004
Last modified: 17 Jul 2017 17:13

Export record

Contributors

Author: David G. Steel
Author: Eric J. Beh
Author: Ray L. Chambers

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×