Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models
Multiple imputation is a commonly used approach to deal with missing values. In this approach, an imputer repeatedly imputes the missing values by taking draws from the posterior predictive distribution for the missing values conditional on the observed values, and releases these completed data sets...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2016-03.
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| Subjects: | |
| Online Access: | Get fulltext |