Adjusting selection bias in German health insurance records for regional prevalence estimation
Author:
Funder
German Federal Statistical Office
Publisher
Springer Science and Business Media LLC
Subject
Public Health, Environmental and Occupational Health,Epidemiology
Link
http://link.springer.com/content/pdf/10.1186/s12963-019-0189-5.pdf
Reference27 articles.
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3. Manzi G, Spiegelhalter DJ, Turner R, et al. Modeling bias in combining small area prevalence estimates from multiple surveys. J R Stat Soc Ser A Stat Soc. 2011;174(1):31–50. https://doi.org/10.1111/j.1467-985X.2010.00648.x .
4. Stern S. Estimating local prevalence of mental health problems. Health Serv Outcome Res Methodol. 2014;14(3):109–55. https://doi.org/10.1007/s10742-014-0120-2 .
5. Zhang X, Holt JB, Wheaton AG, et al. 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. Am J Epidemiol. 2014;179(8):1025–33. https://doi.org/10.1093/aje/kwu018 .
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