Multilevel Regression and Poststratification: A Modeling Approach to Estimating Population Quantities From Highly Selected Survey Samples-Reference-Cited by-同舟云学术

Multilevel Regression and Poststratification: A Modeling Approach to Estimating Population Quantities From Highly Selected Survey Samples

Published:2018-04-09 Issue:8 Volume:187 Page:1780-1790
ISSN:0002-9262
Container-title:American Journal of Epidemiology
language:en
Short-container-title:

Author:

Downes Marnie¹²^ORCID,Gurrin Lyle C³,English Dallas R³,Pirkis Jane⁴,Currier Dianne⁴,Spittal Matthew J⁴,Carlin John B¹²³

Affiliation:

1. Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia

2. Murdoch Children’s Research Institute, Melbourne, Victoria, Australia

3. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia

4. Centre for Mental Health, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia

Funder

Australian Government Research Training Program Scholarship

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Link

http://academic.oup.com/aje/article-pdf/187/8/1780/25369165/kwy070.pdf

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4. Forecasting elections with non-representative polls;Wang;Int J Forecast,2015

5. Multilevel regression and poststratification for small-area estimation of population health outcomes: a case study of chronic obstructive pulmonary disease prevalence using the Behavioral Risk Factor Surveillance System;Zhang;Am J Epidemiol,2014

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