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Robust small area prediction for counts

Journal Article


Abstract


  • A new semiparametric approach to model-based small area prediction for counts is proposed and used for estimating the average number of visits to physicians for Health Districts in Central Italy. The proposed small area predictor can be viewed as an outlier robust alternative to the more commonly used empirical plug-in predictor that is based on a Poisson generalized linear mixed model with Gaussian random effects. Results from the real data application and from a simulation experiment confirm that the proposed small area predictor has good robustness properties and in some cases can be more efficient than alternative small area approaches.

Authors


  •   Tzavidis, Nikos (external author)
  •   Ranalli, M. Giovanna (external author)
  •   Salvati, Nicola (external author)
  •   Dreassi, Emanuela (external author)
  •   Chambers, Raymond L.

Publication Date


  • 2015

Citation


  • Tzavidis, N., Ranalli, M., Salvati, N., Dreassi, E. & Chambers, R. (2015). Robust small area prediction for counts. Statistical Methods in Medical Research, 24 (3), 373-395.

Scopus Eid


  • 2-s2.0-84930462412

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4525

Number Of Pages


  • 22

Start Page


  • 373

End Page


  • 395

Volume


  • 24

Issue


  • 3

Abstract


  • A new semiparametric approach to model-based small area prediction for counts is proposed and used for estimating the average number of visits to physicians for Health Districts in Central Italy. The proposed small area predictor can be viewed as an outlier robust alternative to the more commonly used empirical plug-in predictor that is based on a Poisson generalized linear mixed model with Gaussian random effects. Results from the real data application and from a simulation experiment confirm that the proposed small area predictor has good robustness properties and in some cases can be more efficient than alternative small area approaches.

Authors


  •   Tzavidis, Nikos (external author)
  •   Ranalli, M. Giovanna (external author)
  •   Salvati, Nicola (external author)
  •   Dreassi, Emanuela (external author)
  •   Chambers, Raymond L.

Publication Date


  • 2015

Citation


  • Tzavidis, N., Ranalli, M., Salvati, N., Dreassi, E. & Chambers, R. (2015). Robust small area prediction for counts. Statistical Methods in Medical Research, 24 (3), 373-395.

Scopus Eid


  • 2-s2.0-84930462412

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4525

Number Of Pages


  • 22

Start Page


  • 373

End Page


  • 395

Volume


  • 24

Issue


  • 3