Addressing common inferential mistakes when failing to reject the null-hypothesis [version 3; peer review: 2 approved]
Failure to reject a null-hypothesis may lead to erroneous conclusions regarding the absence of an association or inadequate statistical power. Because an estimate (and its variance) can never be exactly zero, traditional statistical tests cannot conclusively demonstrate the absence of an association...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2025-04-01
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| Series: | F1000Research |
| Subjects: | |
| Online Access: | https://f1000research.com/articles/13-1488/v3 |
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