Multiple Imputation for Nonresponse in Surveys¶
Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. Wiley.
Cited by¶
4 citations across 3 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Imputation
- Proper multiple imputation instead builds an observed-pattern model: regress income on the variables that are observed (education, age, occupation, region) and use that model to draw plausible income values.
This sourceOriginating treatment of multiple imputation — draw several completed datasets, analyze each, and combine so intervals widen to reflect the modeled gap.
Supported in partVerified against the publisher's abstract
Rubin's contents list sections on creating imputed values under an explicit model with covariates, which backs the model-based frame of the claim but carries none of the claim's income/education/age example.
“5.2 Creating Imputed Values under an Explicit Model. 5.3 Some Explicit Imputation Models with Univariate YI and Covariates.”
- Proper multiple imputation instead builds an observed-pattern model: regress income on the variables that are observed (education, age, occupation, region) and use that model to draw plausible income values.
- Missing Data Mechanisms (MCAR, MAR, MNAR)
- Likelihood-based and Bayesian methods (and properly-specified multiple imputation)
This sourceRubin multiple-imputation monograph formalizing MAR-based imputation theory.
Supported in partVerified against the publisher's abstract
Rubin 1987's own table of contents shows the book develops Bayesian theory and proper-vs-improper imputation under ignorable nonresponse, matching the claim's frame but not asserting its proposition.
“4.3Examples of Proper and Improper Imputation Methods in a Simple Case with Ignorable Nonresponse.”
- The paper's reach extended slowly at first — multiple imputation was developed by Rubin in the late 1970s and formalized in his 1987 monograph
This sourceRubin multiple-imputation framework formalized late 1970s-1980s.
Supported in partVerified against the publisher's abstract
The 1987 Wiley monograph on multiple imputation is real and its front matter carries a 1977 Social Security Administration report, but nothing here speaks to how slowly the method's reach grew.
“Appendix I. Report Written for the Social Security Administration in 1977.”
- Likelihood-based and Bayesian methods (and properly-specified multiple imputation)
Mechanisms¶
- Multiple Imputation Workflow
- Its strength is flexibility with honest uncertainty: it handles many incomplete variables of mixed type in one framework, plugs into any downstream analysis, and — unlike a single fill — refuses to understate what it does not know.
This sourceMultiple imputation supports standard complete-data analyses while propagating missing-data uncertainty that a single deterministic fill suppresses.
- Its strength is flexibility with honest uncertainty: it handles many incomplete variables of mixed type in one framework, plugs into any downstream analysis, and — unlike a single fill — refuses to understate what it does not know.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
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