Sign Correlation

Sign Correlation is a statistical method used in clinical data interpretation that identifies and quantifies associations between categorical indicators or directional changes in biomarkers, distinguished by its focus on the consistency of sign patterns (positive, negative, or zero) rather than magnitude to infer relationships among variables.

35

Publications

1.9K

Citations

104

Authors

50

Institutions

Publications per year

2017–2026

8

Authors

104

  1. PC
    Plamen Ch. Ivanov

    Boston University, United States

    3 publications · 441 citations

    3

    h-index

  2. PC
    Pedro Carpena

    Universidad de Málaga, Spain

    2 publications · 52 citations

    2

    h-index

  3. SK
    Shun’ichi Kaneko

    Hokkaido University, Japan

    2 publications · 127 citations

    2

    h-index

  4. YA
    Yosef Ashkenazy

    Ben-Gurion University of the Negev, Israel

    2 publications · 419 citations

    2

    h-index

  5. VK
    Visa Koivunen

    Aalto University, Finland

    2 publications · 34 citations

    2

    h-index

1–5 of 104

Venues

  1. Physical review. B./Physical review. B

    PRB · 2 publications · 65 citations

    2

    h-index

  2. Acta Crystallographica

    2 publications · 93 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Physical review. E

    PRE · 1 publications · 34 citations

    1

    h-index

1–5