Please use this identifier to cite or link to this item: http://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
RMID: 0030076691
DOI: 10.1093/ije/dyx194
Grant ID: http://purl.org/au-research/grants/nhmrc/1035261
Appears in Collections:Public Health publications

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