Multiple Imputation for Nonresponse in Surveys¶
Rubin, D. B. (1987). Multiple Imputation for Nonresponse in Surveys. Wiley.
Cited by¶
3 citations across 2 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.
- 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.
- 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.
- Likelihood-based and Bayesian methods (and properly-specified multiple imputation)
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