Comment: Struggles with survey weighting and regression modeling

Statistical Science

Volumn 22, Issue 2, 2007, Pages 179-183

  Pfeffermann, Danny ^a,b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 49449107350     PISSN: 08834237     EISSN: None     Source Type: Journal    
DOI: 10.1214/088342307000000168     Document Type: Note

References (12)

1. ALEXANDER, C. H. (1987). A model-based justification for survey weights. Proc. ASA Survey Research Methods Section 183-188. Amer. Statist. Assoc., Alexandria, VA.
2. GELMAN, A., CARLIN, J. B., STERN, H. S. and RUBIN, D. B. (2004). Bayesian Data Analysis, 2nd ed. CRC Press, London.
3. LITTLE, R. J. A. (2004). To model or not to model? Competing modes of inference for finite population sampling. J. Amer. Statist. Assoc. 99 546-556.
4. PFEFFERMANN, D. (1993). The role of sampling weights when modeling survey data. Internat. Statist. Rev. 61 317-337.
5. PFEFFERMANN, D., KRIEGER, A. M. and RINOTT, Y. (1998). Parametric distributions of complex survey data under informative probability sampling. Statist. Sinica 8 1087-1114.
6. PFEFFERMANN, D. and SVERCHKOV, M. (1999). Parametric and semi-parametric estimation of regression models fitted to survey data. Sankhyā Ser. B 61 166-186.
7. PFEFFERMANN, D. and SVERCHKOV, M. (2003). Fitting generalized linear models under informative probability sampling. In Analysis of Survey Data (C. Skinner and R. Chambers, eds.) 175-195. Wiley, New York.
8. PFEFFERMANN, D. and SVERCHKOV, M. (2007). Small area estimation under informative probability sampling of areas and within the selected areas. J. Amer. Statist. Assoc. 102. To appear.
9. RUBIN, D. B. (1985). The use of propensity scores in applied Bayesian inference. In Bayesian Statistics 2 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds.) 463-472. North-Holland, Amsterdam.
10. SKINNER, C. J. (1994). Sample models and weights. Proc. ASA Survey Research Methods Section 133-142. Amer. Statist. Assoc., Alexandria, VA.
11. SMITH, T. M. F. (1988). To weight or not to weight, that is the question. In Bayesian Statistics 3 (J. M. Bernardo, M. H. DeGroot, D. V. Lindley and A. F. M. Smith, eds.) 437-451. Oxford Univ. Press.
12. SVERCHKOV, M. and PFEFFERMANN, D. (2004). Prediction of finite population totals based on the sample distribution. Survey Methodology 30 79-92.