SLICE 1.5: A software framework for automatic edit and imputation Ton de Waal Statistics Netherlands UN/ECE Work Session on Statistical Data Editing, May 2005, Ottawa

SLICE 1.5 Several related modules for automatic edit and imputation –Blaise parser: reads and interprets Blaise edit rules –Cherry Pie: localises errors –Module for highly contaminated records: localises errors in records with many erroneous values –Imputation module: imputes missing and erroneous data –AdaptValues: adjusts imputed values so all edits become satisfied

SLICE 1.5  Modules can be used in combination or separately  SLICE 1.5 can handle - categorical, continuous and integer data - positive and negative values - complex edits with inequalities, equations, IF THEN ELSE statements, AND/OR/NOT operators, e.g. IF ((Tax on wages > 0) AND (Activity code = “Chemical Industry”)) THEN ((Number of employees  100) OR (Size  {“Medium”, “Large”}))