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Test the reliability of doubly robust estimation with missing response data
In statistical inference one has to make sure that the underlying regression model is correctly specified otherwise the resulting estimation may be biased. Model checking is an important method to detect any departure of the regression model from the true one. Missing data is a ubiquitous problem in...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4061274/ https://ncbi.nlm.nih.gov/pubmed/24571677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12150 |
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