Saving lives with statistics.
Prehospital care
Statistical analysis
Trauma
Journal
Scandinavian journal of trauma, resuscitation and emergency medicine
ISSN: 1757-7241
Titre abrégé: Scand J Trauma Resusc Emerg Med
Pays: England
ID NLM: 101477511
Informations de publication
Date de publication:
02 Sep 2024
02 Sep 2024
Historique:
received:
21
08
2024
accepted:
23
08
2024
medline:
3
9
2024
pubmed:
3
9
2024
entrez:
2
9
2024
Statut:
epublish
Résumé
Healthcare is awash with numbers, and figuring out what knowledge these numbers might hold is worthwhile in order to improve patient care. Numbers allow for objective mathematical analysis of the information at hand, but while mathematics is objective by design, our choice of mathematical approach in a given situation is not. In prehospital and critical care, numbers stem from a wide range of different sources and situations, be it experimental setups, observational data or data registries, and what constitutes a "good" statistical analysis can be unclear. A well-crafted statistical analysis can help us see things our eyes cannot, and find patterns where our brains come short, ultimately contributing to changing clinical practice and improving patient outcome. With increasingly more advanced research questions and research designs, traditional statistical approaches are often inadequate, and being able to properly merge statistical competence with clinical knowhow is essential in order to arrive at not only correct, but also valuable and usable research results. By marrying clinical knowhow with rigorous statistical analysis we can accelerate the field of prehospital and critical care.
Identifiants
pubmed: 39223573
doi: 10.1186/s13049-024-01256-4
pii: 10.1186/s13049-024-01256-4
doi:
Types de publication
Journal Article
Review
Letter
Langues
eng
Sous-ensembles de citation
IM
Pagination
79Informations de copyright
© 2024. The Author(s).
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