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Multiple Imputation and its Application
Author: Michael Kenward
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Nowadays one doesn't simply *reject*. Instead, what is more common is to *impute* missing data. See e.g. (https://www.amazon.com/Flexible-Imputation-Missing-Interdisciplinary-Statistics/dp/1439868247/), (https://www.amazon.com/Applied-Missing-Analysis-Methodology-Sciences/dp/1606236393/) or (https://www.amazon.com/Multiple-Imputation-Application-James-Carpenter/dp/0470740523/) for references. There are even studies *designed* to exhibit missing values.
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