Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Fede, J. Stewart, M. Harris, K. Mayfield-Smith (2008)
Tuberculosis in socio-economically deprived neighborhoods: missed opportunities for prevention.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 12 12
Seungsik Hwang is Associate Professor at Seoul National University Graduate School of Public Health in Department of Public Health Sciences
D Spiegelhalter, NG Best, BP Carlin, A Linde (2002)
Bayesian measures of model complexity and fit (with discussion)J R Statist Soc B, 164
S. Deguen, B. Lalloué, D. Bard, S. Havard, D. Arveiler, D. Zmirou-Navier (2010)
A Small-area Ecologic Study of Myocardial Infarction, Neighborhood Deprivation, and Sex: A Bayesian Modeling ApproachEpidemiology, 21
H Rue, L Held (2005)
Gaussian Markov random fields:theory and applications
S. Greenland, H. Morgenstern (1989)
Ecological bias, confounding, and effect modification.International journal of epidemiology, 18 1
J. Wakefield, R. Salway (2001)
A statistical framework for ecological and aggregate studiesJournal of the Royal Statistical Society: Series A (Statistics in Society), 164
J Besag, D Higdon (1999)
Bayesian analysis of agricultural field experiments (with discussion)J R Stat Soc Ser B, 61
Ikhan Kim, Jinwook Bahk, T. Yoon, Sung-Cheol Yun, Y. Khang (2017)
Income Differences in Smoking Prevalences in 245 Districts of South Korea: Patterns by Area Deprivation and Urbanity, 2008-2014Journal of Preventive Medicine and Public Health, 50
S. Richardson, I. Stücker, D. Hémon (1987)
Comparison of relative risks obtained in ecological and individual studies: some methodological considerations.International journal of epidemiology, 16 1
P Townsend (1987)
DeprivationJ Soc Policy, 16
J. Besag (1974)
Spatial Interaction and the Statistical Analysis of Lattice SystemsJournal of the royal statistical society series b-methodological, 36
D McLennan, H Barnes, M Noble (2011)
The English indices of deprivation 2010
J Wakefield (2003)
Sensitivity analysis for ecological regressionBiometrics, 59
S. Greenland (2002)
A review of multilevel theory for ecologic analysesStatistics in Medicine, 21
J. Besag, D. Higdon (1999)
Bayesian analysis of agricultural field experimentsJournal of the Royal Statistical Society: Series B (Statistical Methodology), 61
Ji Kim, J. Yim (2015)
Achievements in and Challenges of Tuberculosis Control in South KoreaEmerging Infectious Diseases, 21
Eunjung Song is a graduate student at Inha University in the Department of Statistics
D. Spiegelhalter, N. Best, B. Carlin, A. Linde (2002)
Bayesian measures of model complexity and fitJournal of the Royal Statistical Society: Series B (Statistical Methodology), 64
S. Jay (2007)
Smoking and risk of tuberculosis.Archives of internal medicine, 167 18
Clare French, M. Kruijshaar, Jane Jones, Ibrahim Abubakar (2008)
The influence of socio-economic deprivation on tuberculosis treatment delays in England, 2000–2005Epidemiology and Infection, 137
R. Salway, J. Wakefield (2005)
Sources of bias in ecological studiesof non-rare eventsEnvironmental and Ecological Statistics, 12
J. Steele (1994)
Le Cam's inequality and poisson approximationsAmerican Mathematical Monthly, 101
J. Wakefield (2007)
Disease mapping and spatial regression with count data.Biostatistics, 8 2
The main results. Community Health Survey website
S Haneuse, J Wakefield (2004)
Ecological inference: new methodological strategies
S. Greenland (2001)
Ecologic versus individual-level sources of bias in ecologic estimates of contextual health effects.International journal of epidemiology, 30 6
(2004)
Ecological inference incorporating spatial dependence
(2015)
Sensitivity analysis for ecological regression. Biometrics 59:9–17
S. Jee, J. Golub, Jaeseong Jo, I. Park, H. Ohrr, J. Samet (2009)
Smoking and risk of tuberculosis incidence, mortality, and recurrence in South Korean men and women.American journal of epidemiology, 170 12
L. Cam (1960)
An approximation theorem for the Poisson binomial distribution.Pacific Journal of Mathematics, 10
J Besag (1974)
Spatial interaction and the statistical analysis of lattice systems (with discussion)J R Stat Soc Ser B, 36
(2011)
The English indices of deprivation 2010. Department for Communities and Local Government
C. Jackson, N. Best, S. Richardson (2006)
Improving ecological inference using individual‐level dataStatistics in Medicine, 25
GeoBugs user manual
J. Besag, J. York, A. Mollié (1991)
Bayesian image restoration, with two applications in spatial statisticsAnnals of the Institute of Statistical Mathematics, 43
B. Cohen (1995)
Divergent biases in ecologic and individual level studies.Statistics in medicine, 14 3
(1995)
Statistical issues in the analysis of disease risk near point sources using individual or spatially aggregated data
J. Besag, C. Kooperberg (1995)
On conditional and intrinsic autoregressionsBiometrika, 82
In ecological studies, researchers often try to convey the analysis results to individual level based on aggregate data. In order to do this correctly, the possibility of ecological bias should be studied and addressed. One of the key ideas used to address the ecological bias issue is to derive the ecological model from the individual model and to check whether the parameter of interest in the individual model is identifiable in the ecological model. However, the procedure depends on unverifiable assumptions, and we recommend checking how sensitive the results are to these unverifiable assumptions. We analyzed the tuberculosis data that was collected in Seoul in 2005 using a spatial ecological regression model for the aggregate count data with spatial correlation, and found that the deprivation index is likely to have a small positive effect on the occurrence risk of tuberculosis in individual level in Seoul. We considered this finding in various aspects by performing in depth sensitivity analyses. In particular, our findings are shown to be robust to the distribution assumptions for the individual exposure and missing binary covariate across various scenarios.
Environmental and Ecological Statistics – Springer Journals
Published: May 29, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.