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  • 标题:Data Quality Improvement, Data Linkage and Multiple Imputation in the UK National Vascular Database
  • 本地全文:下载
  • 作者:Brian Cattle ; Paul Baxter ; Thomas Flemming
  • 期刊名称:International Journal of Statistics and Probability
  • 印刷版ISSN:1927-7032
  • 电子版ISSN:1927-7040
  • 出版年度:2012
  • 卷号:1
  • 期号:2
  • 页码:137
  • DOI:10.5539/ijsp.v1n2p137
  • 出版社:Canadian Center of Science and Education
  • 摘要:The National Vascular Database (NVD) is a prospective audit database collecting information of the quality of care and outcomes of patients admitted to acute hospitals in England, Wales, Scotland and Northern Ireland with several vascular disorders. The NVD has proved to be an important resource for clinical audit but by contrast its potential as a valuable research tool remains under exploited.

    We demonstrate proof-of-principle linkage of the NVD to Hospital Episode Statistics (HES) and UK Statistics Authority data. We present and validate Multiple Imputation (MI) methods to address problems with missingness in the linked dataset, focusing on a specific risk model. MI is applied to these linked data to extend the chosen risk model to long term mortality outcomes.
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