The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
Abstract
Finite population sampling is perhaps the only area of statistics in which the primary mode of analysis is based on the randomization distribution, rather than on statistical models for the measured variables. This article reviews the debate between design-based and model-based inference. The basic features of the two approaches are illustrated using the case of inference about the mean from stratified random samples. Strengths and weakness of design-based and model-based inference for surveys are discussed. It is suggested that models that take into account the sample design and make weak parametric assumptions can produce reliable and efficient inferences in surveys settings. These ideas are illustrated using the problem of inference from unequal probability samples. A model-based regression analysis that leads to a combination of design-based and model-based weighting is described.
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Cites
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Mixed-Effects Models in S and S-PLUS
(2001) · Technometrics · doi:10.1198/tech.2001.s574 · Cited by 9,278
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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Cited by
Integrative data analysis: The simultaneous analysis of multiple data sets
Curran, P. J., & Hussong, A. M. (2009) · Psychological Methods · doi:10.1037/a0015914 · Cited by 867
Algorithmic Fairness: Choices, Assumptions, and Definitions
Mitchell, S., Potash, E., Barocas, S., D'Amour, A., & Lum, K. (2021) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-042720-125902 · Cited by 687
Cerdá, M., Mauro, C., Hamilton, A., Levy, N. S., Santaella-Tenorio, J., Hasin, D., Wall, M. M., Keyes, K. M., & Martins, S. S. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.3254 · Cited by 598
Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs
Groves, R. M., & Heeringa, S. G. (2006) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2006.00423.x · Cited by 423
Structural racism and myocardial infarction in the United States
Lukachko, A., Hatzenbuehler, M. L., & Keyes, K. M. (2014) · Social Science & Medicine · doi:10.1016/j.socscimed.2013.07.021 · Cited by 330
Metadata
- Authors
- Little, R. J.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2004-06
- Volume
- 99
- Issue
- 466
- Pages
- 546-556
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2066583279
- Cited by
- 244
- References
- 5
- FWCI
- 7.87
- Type
- journal article
- Language
- en
- Open access
- closed
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