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Doug Altman, medical statistician par excellence: What can radiologists learn from his legacy?
Halligan, S; Boone, D; Burling, D; Helbren, E; Mallett, S; Plumb, A.
Affiliation
  • Halligan S; Centre for Medical Imaging, Division of Medicine, University College London, United Kingdom. Electronic address: s.halligan@ucl.ac.uk.
  • Boone D; Department of Radiology, University College Hospitals, London, United Kingdom.
  • Burling D; Department of Radiology, St. Mark's Hospital, London, United Kingdom.
  • Helbren E; Department of Radiology, Hull & East Yorkshire Hospitals NHS Trust, Hull, United Kingdom.
  • Mallett S; Centre for Medical Imaging, Division of Medicine, University College London, United Kingdom.
  • Plumb A; Department of Radiology, University College Hospitals, London, United Kingdom.
Clin Radiol ; 79(7): 479-484, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38729906
ABSTRACT
This narrative review describes our experience of working with Doug Altman, the most highly cited medical statistician in the world. Doug was particularly interested in diagnostics, and imaging studies in particular. We describe how his insights helped improve our own radiological research studies and we provide advice for other researchers hoping to improve their own research practice.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology Limits: Humans Language: En Journal: Clin Radiol Year: 2024 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology Limits: Humans Language: En Journal: Clin Radiol Year: 2024 Document type: Article