Weighting for unequal selection probabilities in multilevel models

@inproceedings{Pfeffermann1998WeightingFU,
  title={Weighting for unequal selection probabilities in multilevel models},
  author={Danny Pfeffermann and Chris J. Skinner and David J. Holmes and Harvey Goldstein and Jr Rasbash},
  year={1998}
}
When multilevel models are estimated from survey data derived using multistage sampling, unequal selection probabilities at any stage of sampling may induce bias in standard estimators, unless the sources of the unequal probabilities are fully controlled for in the covariates. This paper proposes alternative ways of weighting the estimation of a two-level model by using the reciprocals of the selection probabilities at each stage of sampling. Consistent estimators are obtained when both the… CONTINUE READING

Tables from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 233 CITATIONS

Multilevel modelling of complex survey data

VIEW 13 EXCERPTS
CITES BACKGROUND, METHODS & RESULTS
HIGHLY INFLUENCED

Sampling Weights in Latent Variable Modeling

VIEW 9 EXCERPTS
CITES METHODS & RESULTS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

1998
2019

CITATION STATISTICS

  • 30 Highly Influenced Citations

  • Averaged 13 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 12 REFERENCES

The Prevalence of Psychiatric Morbidity among Adults

Statistics, H. Washington DC. Meltzer, B. Gill, M. Petticrew, K. Hinds
  • 1995

The role of sampling weights when modelling survey data

L. M. LaVange
  • Int . Statist . Rev .
  • 1993

Regressionmodels for stratifiedmultistage cluster samples

C. J. Skinner
  • Analysis of Complex Surveys
  • 1989
VIEW 2 EXCERPTS

On the variances of asymptotically normal estimators from complex surveys

D. A. Binder
  • Int. Statist. Rev.,
  • 1983
VIEW 2 EXCERPTS