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Real data examples in statistical methods papers: Tremendously valuable, and also tremendously misvalued.

K Y Williams1, Yun Joo Yoo, Amit Patki

  • 1Department of Biostatistics, Section on Statistical Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Statistics and Its Interface
|December 2, 2011
PubMed
Summary

Real data examples in statistical methods papers are valuable but often misused, especially in genetics and genomics. Expectations for these examples need adjustment to prevent negative consequences in scientific fields.

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Area of Science:

  • Statistical methodology
  • Genetics
  • Genomics

Background:

  • Journals encourage or require real data examples in statistical methods papers.
  • Real data applications are intended to demonstrate method utility and validity.

Purpose of the Study:

  • To evaluate the utility and appropriateness of real data examples in statistical methods publications.
  • To identify potential negative consequences arising from misaligned expectations of real data examples, particularly in genetics and genomics.

Main Methods:

  • Commentary based on critical analysis of current publication practices.
  • Review of the role and impact of real data examples in scientific literature.

Main Results:

  • Real data examples serve important functions in statistical methodology papers.
  • In fields like genetics and genomics, there are often ill-suited expectations for real data examples.
  • These misaligned expectations can negatively impact scientific fields.

Conclusions:

  • Real data examples remain valuable tools in statistical research.
  • The demands for, expectations of, and conclusions drawn from real data examples require reevaluation and scaling back.
  • Appropriate application of real data examples is crucial for scientific integrity.