Measuring the impact of differences in risk factor distributions on cross-population differences in disease occurrence: a causal approach

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/120186

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Type:	Journal article
Title:	Measuring the impact of differences in risk factor distributions on cross-population differences in disease occurrence: a causal approach
Author:	Moreno-Betancur, M. Koplin, J. Ponsonby, A.-L. Lynch, J. Carlin, J.
Citation:	International Journal of Epidemiology, 2018; 47(1):217-225
Publisher:	Oxford University Press
Issue Date:	2018
ISSN:	0300-5771 1464-3685
Statement of Responsibility:	Margarita Moreno-Betancur, Jennifer J Koplin, Anne-Louise Ponsonby, John Lynch, and John B Carlin
Abstract:	Abstract not available
Keywords:	Population comparison; disease occurrence; risk factor distribution; contribution of risk factors; causal inference; standardization; g-computation; doubly robust; inverse probability weighting; average treatment effect on the treated
Rights:	© The Author 2017; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association
DOI:	10.1093/ije/dyx194
Grant ID:	http://purl.org/au-research/grants/nhmrc/1035261
Published version:	http://dx.doi.org/10.1093/ije/dyx194
Appears in Collections:	Aurora harvest 8 Public Health publications

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