Addressing missing values in routine health information system data: an evaluation of imputation methods using data from the Democratic Republic of the Congo during the COVID-19 pandemic
Abstract Background Poor data quality is limiting the use of data sourced from routine health information systems (RHIS), especially in low- and middle-income countries. An important component of this data quality issue comes from missing values, where health facilities, for a variety of reasons, fa...
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| Main Authors: | , , |
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| Format: | article |
| Language: | EN |
| Published: |
BMC
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/d3a35b234ffb4c9b9c2e82128fa9708c |
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