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- W2188965051 abstract "A commonly accepted method to deal with item nonresponse is hot deck imputation, in which missing values are imputed from other records in the database that share attributes related to the incomplete variable. Sequential hot deck imputation uses related sort variables to impute nearest neighbor values from adjacent records (“nearest neighbors” ), and is particularly useful for variables missing 5% of values or less. Weighted sequential hot deck imputation retains the weighted distribution of data, and should be considered with missing data rates of 10% or more. A series of SAS macros was presented at SUGI (Iannacchione, 1982, Carlson, 1995) to implement these procedures. However, they involve separate execution of programs for specialized sorting, routines to insure initial values are not missing, generally are designed to impute one variable at a time, and require a degree of subsequent programming to include imputation flags in a final output file. This poster presents software that consolidates the programming to execute all the imputation steps with a macro to iteratively execute the programming for a series of variables, each with their own set of missing values, sorting variables and imputation classes." @default.
- W2188965051 created "2016-06-24" @default.
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- W2188965051 date "2007-01-01" @default.
- W2188965051 modified "2023-09-23" @default.
- W2188965051 title "A Consolidated Macro for Iterative Hot Deck Imputation" @default.
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