A comparison of two methods of estimating propensity scores after multiple imputation
In many observational studies, analysts estimate treatment effects using propensity scores, e.g. by matching or sub-classifying on the scores. When some values of the covariates are missing, analysts can use multiple imputation to fill in the missing data, estimate propensity scores based on the m c...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2012-06-11.
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| Subjects: | |
| Online Access: | Get fulltext Get fulltext Get fulltext |