Abstract
Abstract Expressions are derived for the bias and variance associated with procedures frequently used to estimate partial regression coefficients in a linear model having the two explanatory variables x 1 and x 2, with missing values on x 2 only. The expressions are used to help gain insight into the relative effectiveness of these procedures for handling more complex patterns of missing data. Key Words: RegressionLinear modelMissing values
Keywords
Missing dataStatisticsRegression analysisRegressionComputer scienceMathematics
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Publication Info
- Year
- 1982
- Type
- article
- Volume
- 36
- Issue
- 4
- Pages
- 378-381
- Citations
- 141
- Access
- Closed
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Cite This
Allan Donner
(1982).
The Relative Effectiveness of Procedures Commonly Used in Multiple Regression Analysis for Dealing with Missing Values.
The American Statistician
, 36
(4)
, 378-381.
https://doi.org/10.1080/00031305.1982.10483055
Identifiers
- DOI
- 10.1080/00031305.1982.10483055