Home > Research > Publications & Outputs > Deprivation, ill-health and ecological fallacy.
View graph of relations

Deprivation, ill-health and ecological fallacy.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Deprivation, ill-health and ecological fallacy. / Lancaster, Gillian A.; Green, Mick.
In: Journal of the Royal Statistical Society: Series A Statistics in Society, Vol. 165, No. 2, 01.06.2002, p. 263-278.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lancaster, GA & Green, M 2002, 'Deprivation, ill-health and ecological fallacy.', Journal of the Royal Statistical Society: Series A Statistics in Society, vol. 165, no. 2, pp. 263-278. https://doi.org/10.1111/1467-985X.00586

APA

Lancaster, G. A., & Green, M. (2002). Deprivation, ill-health and ecological fallacy. Journal of the Royal Statistical Society: Series A Statistics in Society, 165(2), 263-278. https://doi.org/10.1111/1467-985X.00586

Vancouver

Lancaster GA, Green M. Deprivation, ill-health and ecological fallacy. Journal of the Royal Statistical Society: Series A Statistics in Society. 2002 Jun 1;165(2):263-278. doi: 10.1111/1467-985X.00586

Author

Lancaster, Gillian A. ; Green, Mick. / Deprivation, ill-health and ecological fallacy. In: Journal of the Royal Statistical Society: Series A Statistics in Society. 2002 ; Vol. 165, No. 2. pp. 263-278.

Bibtex

@article{393360cdc9bc4631ab946857c3a97d6e,
title = "Deprivation, ill-health and ecological fallacy.",
abstract = "The use of ecological studies in explaining the relationship between deprivation and ill-health is widespread in many health applications. However, inferences drawn from these studies about individuals are susceptible to serious bias known as the ecological fallacy. Our paper demonstrates the ecological fallacy effect in this context but also shows how it can be considerably reduced by taking into account different population structures at the aggregate level. Two regression analyses of limiting long-term illness are performed, one at the individual level and one at the electoral ward level, using the 1991 UK census sample of anonymized records and the small area statistics. The analyses compare several measures of deprivation including the standard Carstairs index, with the separate variables which make up the indices, to determine their effectiveness in explaining rates of illness. Two of the deprivation scores are constructed using latent variable modelling techniques which enable a score to be generated at the individual level as well as at the ward level. It is shown that, given the right choice of socioeconomic variables and taking into account the age structure of the population, it should be possible to construct a single aggregate deprivation index that will explain most of the variation in rates of illness across the study region.",
author = "Lancaster, {Gillian A.} and Mick Green",
note = "RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research",
year = "2002",
month = jun,
day = "1",
doi = "10.1111/1467-985X.00586",
language = "English",
volume = "165",
pages = "263--278",
journal = "Journal of the Royal Statistical Society: Series A Statistics in Society",
issn = "0964-1998",
publisher = "Wiley",
number = "2",

}

RIS

TY - JOUR

T1 - Deprivation, ill-health and ecological fallacy.

AU - Lancaster, Gillian A.

AU - Green, Mick

N1 - RAE_import_type : Journal article RAE_uoa_type : Statistics and Operational Research

PY - 2002/6/1

Y1 - 2002/6/1

N2 - The use of ecological studies in explaining the relationship between deprivation and ill-health is widespread in many health applications. However, inferences drawn from these studies about individuals are susceptible to serious bias known as the ecological fallacy. Our paper demonstrates the ecological fallacy effect in this context but also shows how it can be considerably reduced by taking into account different population structures at the aggregate level. Two regression analyses of limiting long-term illness are performed, one at the individual level and one at the electoral ward level, using the 1991 UK census sample of anonymized records and the small area statistics. The analyses compare several measures of deprivation including the standard Carstairs index, with the separate variables which make up the indices, to determine their effectiveness in explaining rates of illness. Two of the deprivation scores are constructed using latent variable modelling techniques which enable a score to be generated at the individual level as well as at the ward level. It is shown that, given the right choice of socioeconomic variables and taking into account the age structure of the population, it should be possible to construct a single aggregate deprivation index that will explain most of the variation in rates of illness across the study region.

AB - The use of ecological studies in explaining the relationship between deprivation and ill-health is widespread in many health applications. However, inferences drawn from these studies about individuals are susceptible to serious bias known as the ecological fallacy. Our paper demonstrates the ecological fallacy effect in this context but also shows how it can be considerably reduced by taking into account different population structures at the aggregate level. Two regression analyses of limiting long-term illness are performed, one at the individual level and one at the electoral ward level, using the 1991 UK census sample of anonymized records and the small area statistics. The analyses compare several measures of deprivation including the standard Carstairs index, with the separate variables which make up the indices, to determine their effectiveness in explaining rates of illness. Two of the deprivation scores are constructed using latent variable modelling techniques which enable a score to be generated at the individual level as well as at the ward level. It is shown that, given the right choice of socioeconomic variables and taking into account the age structure of the population, it should be possible to construct a single aggregate deprivation index that will explain most of the variation in rates of illness across the study region.

U2 - 10.1111/1467-985X.00586

DO - 10.1111/1467-985X.00586

M3 - Journal article

VL - 165

SP - 263

EP - 278

JO - Journal of the Royal Statistical Society: Series A Statistics in Society

JF - Journal of the Royal Statistical Society: Series A Statistics in Society

SN - 0964-1998

IS - 2

ER -