Difference-from-reference Test

A Difference-From-Reference Test is a statistical procedure that belongs to the class of difference testing methods, distinguished by its specific purpose of assessing whether an observed result significantly deviates from a predefined reference value rather than from zero or another comparative baseline.

55

Publications

2.6K

Citations

179

Authors

78

Institutions

Publications per year

2017–2026

8

Authors

179

  1. WJ
    Wim J. van der Linden

    University of Twente, Netherlands

    2 publications · 40 citations

    2

    h-index

  2. NS
    Natalie Stoer

    General Mills (United States), United States

    2 publications · 33 citations

    2

    h-index

  3. SP
    Suzanne Pecore

    General Mills (United States), United States

    2 publications · 33 citations

    2

    h-index

  4. JT
    John Tisak

    Bowling Green State University, United States

    2 publications · 185 citations

    2

    h-index

  5. FC
    Faye Case

    General Mills (United States), United States

    2 publications · 33 citations

    2

    h-index

1–5 of 179

Venues

  1. Food Quality and Preference

    4 publications · 85 citations

    4

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  2. Journal of General Internal Medicine

    JGIM · 2 publications · 112 citations

    2

    h-index

  3. PubMed

    Repository · 2 publications · 45 citations

    2

    h-index

  4. 2

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  5. International Economic Review

    2 publications · 118 citations

    2

    h-index

1–5