Doug Altman, medical statistician par excellence: What can radiologists learn from his legacy?


Journal

Clinical radiology
ISSN: 1365-229X
Titre abrégé: Clin Radiol
Pays: England
ID NLM: 1306016

Informations de publication

Date de publication:
17 Apr 2024
Historique:
received: 17 03 2024
revised: 05 04 2024
accepted: 06 04 2024
medline: 11 5 2024
pubmed: 11 5 2024
entrez: 10 5 2024
Statut: aheadofprint

Résumé

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.

Identifiants

pubmed: 38729906
pii: S0009-9260(24)00195-8
doi: 10.1016/j.crad.2024.04.004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

S Halligan (S)

Centre for Medical Imaging, Division of Medicine, University College London, United Kingdom. Electronic address: s.halligan@ucl.ac.uk.

D Boone (D)

Department of Radiology, University College Hospitals, London, United Kingdom.

D Burling (D)

Department of Radiology, St. Mark's Hospital, London, United Kingdom.

E Helbren (E)

Department of Radiology, Hull & East Yorkshire Hospitals NHS Trust, Hull, United Kingdom.

S Mallett (S)

Centre for Medical Imaging, Division of Medicine, University College London, United Kingdom.

A Plumb (A)

Department of Radiology, University College Hospitals, London, United Kingdom.

Classifications MeSH