Probabilistic Causality Assessment

Probabilistic Causality Assessment is a methodological framework within causal inference that evaluates the likelihood of causal relationships by quantifying uncertainty and probabilistic dependencies among variables, distinguishing itself from deterministic approaches through its reliance on probabilistic models to assess cause-effect hypotheses.

21

Publications

890

Citations

63

Authors

36

Institutions

Publications per year

2017–2026

5

Authors

63

  1. HS
    Harmeet Singh Rehan

    Lady Hardinge Medical College, India

    2 publications · 25 citations

    2

    h-index

  2. RK
    Ravinder K. Sah

    Lady Hardinge Medical College, India

    2 publications · 25 citations

    2

    h-index

  3. RM
    Ritu Mishra

    Lady Hardinge Medical College, India

    2 publications · 25 citations

    2

    h-index

  4. DC
    Deepti Chopra

    Indian Institute of Toxicology Research, India

    2 publications · 25 citations

    2

    h-index

  5. FH
    Françoise Haramburu

    Inserm, France

    1 publications · 56 citations

    1

    h-index

1–5 of 63

Venues

  1. Pharmacoepidemiology and Drug Safety

    2 publications · 29 citations

    2

    h-index

  2. Current Drug Safety

    2 publications · 25 citations

    2

    h-index

  3. Journal of Pharmacovigilance

    1 publications · 13 citations

    1

    h-index

  4. Engineering

    1 publications · 24 citations

    1

    h-index

  5. Frontiers in Drug Safety and Regulation

    1 publications · 22 citations

    1

    h-index

1–5