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Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
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Updated: Jun 24, 2025

Transcutaneous Microcirculatory Imaging in Preterm Neonates
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Corrigendum.

Torill M Enget Jensen1, Tonje Braaten1, Bjarne Koster Jacobsen1

  • 1Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.

Food & Nutrition Research
|June 12, 2024
PubMed
Summary

This study corrects a previous article's DOI. The updated information ensures accurate referencing for future scientific research and data retrieval.

Area of Science:

  • Bibliometrics
  • Scientific Publishing
  • Scholarly Communication

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