Between-study Variance Tracking

Between-Study Variance Tracking is a meta-analytic methodology that systematically monitors and quantifies the heterogeneity across independent studies over time within a cumulative meta-analysis to discern patterns or shifts in effect size variability attributable to study-level differences.

6

Publications

330

Citations

48

Authors

15

Institutions

Publications per year

2017–2026

2

Authors

48

  1. JP
    Jean‐Pierre Pignon

    Institut Gustave Roussy, France

    2 publications · 114 citations

    1

    h-index

  2. MC
    Mike Clarke

    Queen's University Belfast, United Kingdom

    2 publications · 114 citations

    1

    h-index

  3. EE
    Edwin Everts

    Oregon Health & Science University, United States

    1 publications · 53 citations

    1

    h-index

  4. RP
    Rafael Perera

    University of Oxford, United Kingdom

    1 publications · 57 citations

    1

    h-index

  5. MP
    Mahesh Parmar

    University College London, United Kingdom

    1 publications · 57 citations

    1

    h-index

1–5 of 48

Venues

  1. Marketing Intelligence & Planning

    1 publications · 70 citations

    1

    h-index

  2. Contemporary Clinical Trials

    1 publications · 86 citations

    1

    h-index

  3. Journal of Clinical Epidemiology

    1 publications · 57 citations

    1

    h-index

  4. The Canadian Journal of Addiction

    1 publications · 18 citations

    1

    h-index

  5. 1

    h-index

1–5