In statistical analysis, often there is a need to impute values to have complete model cases. The criteria for determine to impute or not can be difficult to apply.
Once a determination is made to impute values, exactly how to impute is the next major step. For non-missing records before and after the missing record, an average is calculated. For only one non-missing record, either before or after the missing record, the non-missing values are kept.
See SAS syntax in this webinar to determine and apply impute methods to create more complete model cases. The programming challenges are non-trivial.
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Computer and phone connections are required. Webinar will be recorded for on-demand viewing.
This webinar is sponsored by TalentMine.
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