Surprise!
P value
S value
compatibility
confidence intervals
information
random error
significance tests
statistical inference
Journal
American journal of epidemiology
ISSN: 1476-6256
Titre abrégé: Am J Epidemiol
Pays: United States
ID NLM: 7910653
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
received:
03
04
2020
revised:
15
06
2020
accepted:
07
07
2020
pubmed:
11
7
2020
medline:
7
4
2021
entrez:
11
7
2020
Statut:
ppublish
Résumé
Measures of information and surprise, such as the Shannon information value (S value), quantify the signal present in a stream of noisy data. We illustrate the use of such information measures in the context of interpreting P values as compatibility indices. S values help communicate the limited information supplied by conventional statistics and cast a critical light on cutoffs used to judge and construct those statistics. Misinterpretations of statistics may be reduced by interpreting P values and interval estimates using compatibility concepts and S values instead of "significance" and "confidence."
Identifiants
pubmed: 32648906
pii: 5869593
doi: 10.1093/aje/kwaa136
pmc: PMC7850156
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
191-193Subventions
Organisme : NIAID NIH HHS
ID : K01 AI125087
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI157758
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.