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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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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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Related Experiment Video

Updated: May 30, 2025

Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis
11:08

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Erratum to Correct Errors in Text.

Adam Ioannou1

  • 1National Amyloidosis Centre, University College London, Royal Free Campus, London, UK.

Heart International
|January 30, 2025
PubMed
Summary
This summary is machine-generated.

This study corrects a previous article DOI. The correct DOI is 10.17925/HI.2024.18.1.5.

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Area of Science:

  • Bibliometrics and Scientific Publishing
  • Scholarly Communication

Context:

  • Correction of a previously published article's Digital Object Identifier (DOI).
  • Ensuring accurate citation and retrieval of scientific literature.

Purpose:

  • To provide the correct DOI for the article published in Volume 18, Issue 1.
  • To facilitate proper referencing and access to the research.

Summary:

  • The Digital Object Identifier (DOI) for the article published in 'Health Information' Volume 18, Issue 1 has been corrected.
  • The accurate DOI is 10.17925/HI.2024.18.1.5.

Impact:

  • Improves the integrity of the scientific record.
  • Enhances the discoverability and accessibility of the corrected article.
  • Supports accurate citation practices in scholarly communication.