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Developing Calibration Weights and Standard-Error Estimates for a Survey of Drug-Related Emergency-Department Visits Cover

Developing Calibration Weights and Standard-Error Estimates for a Survey of Drug-Related Emergency-Department Visits

Open Access
|Sep 2014

References

  1. Folsom, R.E. 1991. “Exponential and Logistic Weight Adjustments for Sampling and Nonresponse Error Reduction.” In Proceedings of the American Statistical Association, Social Statistics Section, 197-202.
  2. Folsom, R.E. and A.C. Singh. 2000. “The Generalized Exponential Model for Sampling Weight Calibration for Extreme Values, Nonresponse, and Poststratification.” In Proceedings of the American Statistical Association, Survey Research Methods Section, 598-603. Available at: https://www.amstat.org/sections/srms/Proceedings/papers/2000_099.pdf (accessed July 1, 2014).
  3. Kim, J.K. and M. Riddles. 2012. “Some Theory for Propensity Scoring Adjustment Estimator.” Survey Methodology 38: 157-165.
  4. Kott, P.S. 2011. “A Nearly Pseudo-optimal Method for Keeping Calibration Weights from Falling Below Unity in the Absence of Nonresponse or Frame Errors.” Pakistan Journal of Statistics 27: 391-396.
  5. Kott, P.S. 2006. “Using Calibration Weighting to Adjust for Nonresponse and Coverage Errors.” Survey Methodology 32: 133-142.
  6. Kott, P.S. and D. Liao. 2012. “One Step or Two? Calibration Weighting from a Complete List Frame with Nonresponse.” Under review by Survey Methodology (presented at the Symposium on the Analysis of Survey Data and Small Area Estimation, in honour of the 75th Birthday of Professor J. N. K. Rao).
  7. RTI International 2012. SUDAAN Language Manual, Release 11.0. Research Triangle Park, NC: RTI International.
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Language: English
Page range: 521 - 532
Submitted on: Nov 1, 2012
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Accepted on: May 1, 2014
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Published on: Sep 2, 2014
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2014 Phillip S. Kott, C. Daniel Day, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.