Performance Comparison of Multiple Imputation Methods for Quantitative Variables for Small and Large Data with Differing Variability
Missing data continues to be one of the main problems in data analysis as it reduces sample representativeness and consequently, causes biased estimates. Multiple imputation methods have been established as an effective method of handling missing data. In this study, we examined multiple imputation...
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| Format: | Others |
| Language: | English |
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Digital Commons @ East Tennessee State University
2021
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| Online Access: | https://dc.etsu.edu/etd/3915 https://dc.etsu.edu/cgi/viewcontent.cgi?article=5412&context=etd |