Missing data may lead to bias and loss of information in epidemiological research. In this article, we propose an approach to analyze missing data on comorbidity variables in a register with consideration of the territorialized organization of the collection. To illustrate this approach, we used the national REIN registry as an application case.
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http://dx.doi.org/10.1684/ndt.2023.16 | DOI Listing |
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