Journal article

Multilevel Regression and Poststratification Versus Survey Sample Weighting for Estimating Population Quantities in Large Population Health Studies

Marnie Downes, John B Carlin

American Journal of Epidemiology | OXFORD UNIV PRESS INC | Published : 2020


Multilevel regression and poststratification (MRP) is a model-based approach for estimating a population parameter of interest, generally from large-scale surveys. It has been shown to be effective in highly selected samples, which is particularly relevant to investigators of large-scale population health and epidemiologic surveys facing increasing difficulties in recruiting representative samples of participants. We aimed to further examine the accuracy and precision of MRP in a context where census data provided reasonable proxies for true population quantities of interest. We considered 2 outcomes from the baseline wave of the Ten to Men study (Australia, 2013-2014) and obtained relevant ..

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Funding Acknowledgements

The analytical work reported in this paper was funded by an Australian Government Research Training Program Scholarship to the first author. The research on which this paper is based was conducted as part of the Australian Longitudinal Study on Male Health (Ten to Men), funded by the Australian Government Department of Health.