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The Relative Effectiveness of Procedures Commonly Used in Multiple Regression Analysis for Dealing with Missing Values
The American Statistician
Vol. 36, No. 4 (Nov., 1982), pp. 378-381
Stable URL: http://www.jstor.org/stable/2683092
Page Count: 4
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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 x1 and x2, with missing values on x2 only. The expressions are used to help gain insight into the relative effectiveness of these procedures for handling more complex patterns of missing data.
The American Statistician © 1982 American Statistical Association