Surprise!
© 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.permissionsoup.com..
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.".
| Errataetall: |
CommentIn: Am J Epidemiol. 2021 Feb 1;190(2):194-195. - PMID 33524113 |
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| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:190 |
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| Enthalten in: |
American journal of epidemiology - 190(2021), 2 vom: 01. Feb., Seite 191-193 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Cole, Stephen R [VerfasserIn] |
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| Links: |
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| Themen: |
Compatibility |
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| Anmerkungen: |
Date Completed 02.04.2021 Date Revised 02.04.2021 published: Print CommentIn: Am J Epidemiol. 2021 Feb 1;190(2):194-195. - PMID 33524113 Citation Status MEDLINE |
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| doi: |
10.1093/aje/kwaa136 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © 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.permissionsoup.com. | ||
| 520 | |a 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." | ||
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| 700 | 1 | |a Greenland, Sander |e verfasserin |4 aut | |
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