95% Confidence Interval

Potter C. Chang
Additional contact information
Potter C. Chang: University of California at Los Angeles, Department of Biostatistics, School of Public Health

Chapter Chapter 12 in Data Analysis of Medical Studies, 2025, pp 385-391 from Springer

Abstract: Abstract Examples of Part II (Chaps. 4 , 5 , 6 , 7 , 8 and 9 ) demonstrate that narratives of revelations of data are frequently ambiguous and hyperbolic. The principal cause of such narratives is statistical significance. The statistics that are declared statistically significant are not explicitly identified, and revelations of data are not plainly described; 95% confidence intervals are used as assessments of reproducibility of revelations of data. It is astute to limit revelations of data deemed inadequately reproducible to the subjects of the studies. Only revelations of data that are deemed adequately reproducible are used to make inferences.

Keywords: Confidence interval; Region of sampling distribution; Replicated studies; Reproducibility; Improvised scheme; Inference (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-49984-5_12

Ordering information: This item can be ordered from
http://www.springer.com/9783031499845

DOI: 10.1007/978-3-031-49984-5_12

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().