The American Statistician · 1982 · 144 citations · 14 references
Public HealthBiostatisticsEconometricsData AnalysisError AnalysisMissing Data ComputationMissing Data HandlingMissing Data ImputationMissing Data MethodsData ImputationHandling Missing ValuesMissing DataMissing Data AnalysisMissing Value ImputationMultiple ImputationMultiple Regression
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
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