Causal Transparency

Causal Transparency is a methodological principle in scientific research that ensures the mechanisms and assumptions underlying causal inferences are explicitly represented and accessible for scrutiny, thereby distinguishing it from opaque or black-box approaches to causal analysis.

11

Publications

1.3K

Citations

33

Authors

29

Institutions

Publications per year

2017–2026

5

Authors

33

  1. BD
    Bruno Dente

    Politecnico di Milano, Italy

    1 publications · 12 citations

    1

    h-index

  2. JB
    Jeb Barnes

    University of Southern California, United States

    1 publications · 29 citations

    1

    h-index

  3. NM
    Nicola McGuigan

    Heriot-Watt University, United Kingdom

    1 publications · 97 citations

    1

    h-index

  4. TP
    Timothy Parker

    Whitman College, United States

    1 publications · 208 citations

    1

    h-index

  5. JK
    Julia Koricheva

    Royal Holloway University of London, United Kingdom

    1 publications · 208 citations

    1

    h-index

1–5 of 33

Venues

  1. Journal of Experimental Child Psychology

    JECP · 1 publications · 97 citations

    1

    h-index

  2. Epidemiology

    1 publications · 155 citations

    1

    h-index

  3. Child Development

    1 publications · 57 citations

    1

    h-index

  4. Evaluation

    1 publications · 12 citations

    1

    h-index

  5. Synthese

    1 publications · 13 citations

    1

    h-index

1–5