Partial Rank Correlation Coefficient Analysis

Partial Rank Correlation Coefficient Analysis is a statistical method used in sensitivity analysis that quantifies the strength and direction of the monotonic relationship between an input variable and an output variable while controlling for the effects of other variables by employing rank transformations and partialling out confounding influences.

67

Publications

3K

Citations

212

Authors

123

Institutions

Publications per year

2017–2026

25

Variants

Prcc

Authors

212

  1. RJ
    Rashid Jan

    University of Swabi, Pakistan

    4 publications · 204 citations

    4

    h-index

  2. RH
    Robert H. Somers

    Institute for Social Research, Croatia

    4 publications · 96 citations

    4

    h-index

  3. MJ
    Muhammad Jawad

    Abdul Wali Khan University Mardan, Pakistan

    2 publications · 102 citations

    2

    h-index

  4. SB
    Salah Boulaaras

    Qassim University, Saudi Arabia

    2 publications · 102 citations

    2

    h-index

  5. YT
    Yves Théorêt

    Centre Hospitalier Universitaire Sainte-Justine, Canada

    2 publications · 90 citations

    2

    h-index

1–5 of 212

Venues

  1. Biometrika

    7 publications · 311 citations

    7

    h-index

  2. Geographical Analysis

    2 publications · 25 citations

    2

    h-index

  3. Social Forces

    SF · 2 publications · 36 citations

    2

    h-index

  4. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 45 citations

    2

    h-index

  5. 2

    h-index

1–5