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IVEware is an imputation and variance software developed by researchers. IVEware can be used with SPSS, STATA, SAS and R packages or also as a standalone in Linux, Windows or Mac OS. IVEware features six modules that are used by users to perform imputation and variance of data.
Category
Statistical Software Free
Features
•IMPUTE uses a sequential regression multivariate imputation (SRMI) •DESCRIBE estimates the population means, proportions, subgroup differences •REGRESS fits linear, logistic, polytomous, Poisson, Tobit •SASMOD allows users to analyze data with several SAS procedures. •SYNTHESIZE uses the SRMI approach to create full or partial synthetic data •COMBINE is useful for combining information
License
Proprietary
Price
• Free
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
•IMPUTE uses a sequential regression multivariate imputation (SRMI) •DESCRIBE estimates the population means, proportions, subgroup differences •REGRESS fits linear, logistic, polytomous, Poisson, Tobit •SASMOD allows users to analyze data with several SAS procedures.
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.4
3.3
Features & Functionality
7.5
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Advanced Features
7.6
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Integration
7.5
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Performance
7.6
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Customer Support
7.4
10
Implementation
0.0
Renew & Recommend
—
Bottom Line
IVEware is used with SPSS, SAS, STATA and R packages or also Windows or Mac OS and developed by researchers to be a free and open source imputation and variance software.
7.5
Editor Rating
4.4
Aggregated User Rating
2 ratings
You have rated this
IVEware is an imputation and variance software developed by researchers. IVEware can be used with SPSS, STATA, SAS and R packages or also as a standalone in Linux, Windows or Mac OS. IVEware features six modules that are used by users to perform imputation and variance of data.
The six modules include Combine, Regress, Sasmod, Impute, Describe and Synthesize. The first module in the IVEware software Impute uses a multivariate imputation and sequential regression approach that enables users multiply imputing item and missing values in a data set.
The Describe module provides users with a good platform to estimate the population means, subgroup differences, promotions, contrasts and linear combinations of proportions and means. IVEware also provides its users with the Regress module that is used to fit logistic, linear, Poisson, polytomous, Tobit and proportional hazard regression models. The Sasmod module enables users to analyze data using the available SAS procedures. IVEware also provides to users with the Synthesize module.
The Synthesize module uses the SRMI approach therefore provides users with the ability to create full or partial synthetic data sets that are used to limit statistical disclosure. The Combine module is also one of the modules of IVEware that users can use for combining information from multiple sources through multiple imputation and variance.
The analysis carried out by IVEware is essential to users as it accounts for weighting, complex design features, stratification and clustering. The multiple imputation analyses done by IVEware is also essential for both descriptive and model based analysis.
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