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IVEware: Imputation and Variance Estimation Software

IVEware developed by the Researchers at the Survey Methodology Program, Survey Research Center, Institute for Social Research, University of Michigan performs:

  1. Single or multiple imputations of missing values using the Sequential Regression Multivariate Imputation (SRMI) method described in the article “A multivariate technique for multiply imputing missing values using a sequence of regression models” by Raghunathan, Lepkowski, Van Hoewyk and Solenberger.
  2. A variety of descriptive and model based analyses accounting for complex design features such as clustering, stratification and weighting.
  3. Multiple imputation analyses for both descriptive and model-based survey statistics.
  4. Create partial or full synthetic data sets to protect confidentiality and limit statistical disclosure.
  5. Combine information from multiple sources by vertically concatenating data sets and multiply imputing the missing portions to create a larger rectangular data set.

IVEware includes six modules: IMPUTE, DESCRIBE, REGRESS, SASMOD, SYNTHESIZE and COMBINE.

  • IMPUTE: Multiple imputation of item missing values in a data set.
  • DESCRIBE: Estimation the population means, proportions, subgroup differences, contrasts and linear combinations of means and proportions.
  • REGRESS: Analysis using linear, logistic, multinomial logit, Poisson, Tobit and proportional hazard regression models.
  • SASMOD: Allows integration of several SAS procedures such as CALIS, CATMOD, GENMOD, LIFEREG, MIXED, NLIN, PHREG, and PROBIT.
  • SYNTHESIZE: Create full or partial synthetic data sets to limit statistical disclosure (See Raghunathan, Reiter and Rubin (2003) , Reiter (2002) and Little,Liu and Raghunathan (2004) for more details.)
  • COMBINE: Combine information from multiple sources through multiple imputation.

IVEware is available in several different versions targeting different operating systems and configurations. For more information, visit www.iveware.org.