The existence of standard-biased mortality ratios due to death certificate misclassification: a simulation study based on a true story
Mortality statistics are used to compare health status of populations; optimally, they base on individual death certificates. However, determining cause of death is error-prone. E.g. cardiovascular disease (CVD) death determination is characterized by sensitivity (SE) and specificity (SP) lower than...
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
22 January 2016
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| In: |
BMC medical research methodology
Year: 2016, Jahrgang: 16, Pages: 1-9 |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-016-0112-8 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1186/s12874-016-0112-8
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| Verfasserangaben: | Andreas Deckert |
| Zusammenfassung: | Mortality statistics are used to compare health status of populations; optimally, they base on individual death certificates. However, determining cause of death is error-prone. E.g. cardiovascular disease (CVD) death determination is characterized by sensitivity (SE) and specificity (SP) lower than 85 %. Furthermore, differential misclassification may be present in case of homogenous target populations. We investigate the bias of standardized mortality ratios (SMR), based on real-world data. |
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| Beschreibung: | Gesehen am 07.05.2020 |
| Beschreibung: | Online Resource |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-016-0112-8 |