Multilevel Regression and Poststratification: A Modeling Approach to Estimating Population Quantities From Highly Selected Survey Samples
Marnie Downes, Lyle C Gurrin, Dallas R English, Jane Pirkis, Dianne Currier, Matthew J Spittal, John B Carlin
AMERICAN JOURNAL OF EPIDEMIOLOGY | OXFORD UNIV PRESS INC | Published : 2018
Investigators in large-scale population health studies face increasing difficulties in recruiting representative samples of participants. Nonparticipation, item nonresponse, and attrition, when follow-up is involved, often result in highly selected samples even in well-designed studies. We aimed to assess the potential value of multilevel regression and poststratification, a method previously used to successfully forecast US presidential election results, for addressing biases due to nonparticipation in the estimation of population descriptive quantities in large cohort studies. The investigation was performed as an extensive case study using baseline data (2013-2014) from a large national h..View full abstract
The analytical work reported in this paper was funded by an Australian Government Research Training Program Scholarship awarded to the first author (M.D.).We are grateful to the Australian Government Department of Health for providing funding and to the boys and men who provided the survey data.