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How to Obtain Valid Inference under Unit Nonresponse? Cover

How to Obtain Valid Inference under Unit Nonresponse?

Open Access
|Nov 2017

References

  1. Bethlehem, J., F. Cobben, and B. Schouten. 2011. Handbook of Nonresponse in Household Surveys, volume 568 of Wiley Handbooks in Survey Methodology. John Wiley & Sons, Inc., Hoboken, New Jersey.10.1002/9780470891056
  2. Boeschoten, L., D. Oberski, and T. de Waal. 2016. “Estimating Classification Error under Edit Restrictions in Combining Survey-Register Data.” Journal of Official Statistics 33:921–962. Doi: http://dx.doi.org/10.1515/JOS-2017-0044.10.1515/JOS-2017-0044
  3. Cohn, N. 2016. “How One 19-Year-Old Illinois Man is Distorting National Polling Averages.” The New York Times. Available at: https://nyti.ms/2k5sB5z (accessed September 26, 2017).
  4. De Waal, T., J. Pannekoek, and S. Scholtus. 2011. Handbook of Statistical Data Editing and Imputation, volume 563 of Wiley Handbooks in Survey Methodology. John Wiley & Sons, Inc., Hoboken, New Jersey.10.1002/9780470904848
  5. Deville, J.-C. and C.-E. Särndal. 1992. “Calibration Estimators in Survey Sampling.” Journal of the American statistical Association 87: 376–382.10.1080/01621459.1992.10475217
  6. Groves, R.M., F.J. Fowler, Jr, M.P. Couper, J.M. Lepkowski, E. Singer, and R. Tourangeau. 2009. Survey Methodology, volume 561 of Wiley Series in Survey Methodology. John Wiley & Sons, Inc., Hoboken, New Jersey.
  7. Horvitz, D.G. and D.J. Thompson. 1952. “A Generalization of Sampling without Replacement from a Finite Universe.” Journal of the American Statistical Association 47: 663–685.10.1080/01621459.1952.10483446
  8. Howard, W.J. 2012. Using Principal Component Analysis (pca) to Obtain Auxiliary Variables for Missing Data in Large Data Sets. University of Kansas. PhD Dissertation.
  9. Lumley, T. 2014. Analysis of Complex Survey Samples. Available at: http://cran.r-project.org/web/packages/survey/survey.pdf (accessed September 26, 2017).
  10. Manrique-Vallier, D. and J.P. Reiter. 2016. “Bayesian Simultaneous Edit and Imputation for Multivariate Categorical Data.” Journal of the American Statistical Association. Doi: http://dx.doi.org/10.1080/01621459.2016.1231612.10.1080/01621459.2016.1231612
  11. Peytchev, A. 2012. “Multiple Imputation for Unit Nonresponse and Measurement Error.” Public Opinion Quarterly 76: 214–237. Doi: https://doi.org/10.1093/poq/nfr065.10.1093/poq/nfr065
  12. R Core Team. 2015. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
  13. Rubin, D.B. 1976. “Inference and Missing Data.” Biometrika 63: 581–592.10.1093/biomet/63.3.581
  14. Rubin, D.B. 1987. Multiple Imputation for Nonresponse in Surveys. Wiley series in probability and mathematical statistics. John Wiley & Sons, New York, USA.10.1002/9780470316696
  15. Rubin, D.B. 1996. “Multiple Imputation after 18+ Years.” Journal of the American Statistical Association 91: 473–489.10.1080/01621459.1996.10476908
  16. Särndal, C., B. Swensson, and J. Wretman. 1992. Model Assisted Survey Sampling. Springer Series in Statistics. Springer-Verlag.10.1007/978-1-4612-4378-6
  17. Schulte Nordholt, E., J. van Zeijl, and L. Hoeksma. 2014. Dutch Census 2011, Analysis and Methodology. The Hague/Heerlen. Available at: https://www.cbs.nl/NR/rdonlyres/5FDCE1B4-0654-45DA-8D7E-807A0213DE66/0/2014b57pub.pdf (accessed 26 September 2017).
  18. Stapleton, L.M. 2008. “Analysis of Data from Complex Surveys.” In International Handbook of Survey Methodology, edited by E.D. De Leeuw, J.J. Hox, and D. Dillman, 342–369. Psychology Press, Taylor & Francis Group, New York.
  19. Van Buuren, S. 2012. Flexible Imputation of Missing Data. CRC press, Boca Raton, Florida.10.1201/b11826
  20. Van Buuren, S. and K. Groothuis-Oudshoorn. 2011. “mice: Multivariate Imputation by Chained Equations in R.” Journal of Statistical Software 45: 1–67. Doi: http://dx.doi.org/10.18637/jss.v045.i03.10.18637/jss.v045.i03
  21. Vink, G. and S. van Buuren. 2014. “Pooling Multiple Imputations when the Sample Happens to be the Population.” arXiv preprint arXiv:1409.8542. Available at: https://arxiv.org/pdf/1409.8542.pdf (accessed 26 September 2017).
  22. Zhang, L.-C. 2012. “Topics of Statistical Theory for Register-Based Statistics and Data Integration.” Statistica Neerlandica 66: 41–63.10.1111/j.1467-9574.2011.00508.x
  23. Zhou, H., M.R. Elliott, and T.E. Raghunathan. 2016. “A Two-Step Semiparametric Method to Accommodate Sampling Weights in Multiple Imputation.” Biometrics 72: 242–252.10.1111/biom.12413605897526393409
Language: English
Page range: 963 - 978
Submitted on: Nov 1, 2015
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Accepted on: Mar 1, 2017
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Published on: Nov 18, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2017 Laura Boeschoten, Gerko Vink, Joop J.C.M. Hox, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.