Wald Test For Interaction

The Wald Test for Interaction is a statistical hypothesis test used to assess the significance of interaction effects in regression models by comparing the estimated interaction coefficient and its standard error under the null hypothesis of no interaction.

129

Publications

46K

Citations

515

Authors

317

Institutions

Publications per year

2017–2026

52

Authors

515

  1. MQ
    Md. Qamruzzaman

    United International University, Bangladesh

    4 publications · 139 citations

    4

    h-index

  2. FM
    France Mentré

    Inserm, France

    3 publications · 81 citations

    3

    h-index

  3. DL
    Dorry L. Segev

    Johns Hopkins University, United States

    2 publications · 36 citations

    2

    h-index

  4. YG
    Yoav Ganzach

    Tel Aviv University, Israel

    2 publications · 128 citations

    2

    h-index

  5. PD
    Paul D. Allison

    University of Pennsylvania, United States

    2 publications · 1.4K citations

    2

    h-index

1–5 of 515

Venues

  1. Statistics in Medicine

    4 publications · 272 citations

    4

    h-index

  2. American Journal of Epidemiology

    AJE · 4 publications · 209 citations

    4

    h-index

  3. PLoS ONE

    3 publications · 433 citations

    3

    h-index

  4. Sustainability

    3 publications · 102 citations

    3

    h-index

  5. SSRN Electronic Journal

    Repository · 3 publications · 106 citations

    3

    h-index

1–5