The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The use of sampling weights for survey data analysis
Abstract
The use of the sampling weights when fitting models to complex survey data is considered. It is shown that when the sample is selected with unequal selection probabilities that are related to the values of the response variables even after conditioning on all the available design information, ignoring the sample selection scheme in the inference process, can yield misleading results. Probability weighting of the sample observations yields consistent estimators of the model parameters and protects against model misspecification, although in a limited sense. Other methods of incorporating the sampling weights in the inference process are discussed and compared to the use of probability weighting.
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Cites
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
On the Variances of Asymptotically Normal Estimators from Complex Surveys
Binder, D. A. (1983) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1402588 · Cited by 982
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Gênero, morbidade, acesso e utilização de serviços de saúde no Brasil
Pinheiro, R. S., Viacava, F., Travassos, C., & Brito, A. D. S. (2002) · Ciência & Saúde Coletiva · doi:10.1590/s1413-81232002000400007 · Cited by 482
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Metadata
- Authors
- Pfeffermann, D.
- Venue
- Statistical Methods in Medical Research
- Publisher
- SAGE Publications
- Published
- 1996-09
- Volume
- 5
- Issue
- 3
- Pages
- 239-261
- ISSN
- 0962-2802 (ISSN-L)
- 1477-0334
- OpenAlex
- W2130388938
- Cited by
- 193
- References
- 2
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- closed
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