Bayesian Benchmark Dose Analysis

Bayesian Benchmark Dose Analysis is a statistical methodology within dose-response assessment that employs Bayesian inference to estimate the minimum dose of a substance associated with a specified adverse effect level, incorporating prior knowledge and quantifying uncertainty in model parameters through posterior distributions.

29

Publications

1.4K

Citations

119

Authors

55

Institutions

Publications per year

2017–2026

14

Authors

119

  1. KS
    Kan Shao

    Indiana University Bloomington, United States

    9 publications · 473 citations

    9

    h-index

  2. MW
    Matthew W. Wheeler

    National Institute for Occupational Safety and Health, United States

    3 publications · 108 citations

    3

    h-index

  3. AJ
    A. John Bailer

    Miami University, United States

    2 publications · 92 citations

    2

    h-index

  4. SS
    Salomon Sand

    Karolinska Institutet, Sweden

    2 publications · 225 citations

    2

    h-index

  5. WW
    Walter W. Piegorsch

    University of South Carolina, United States

    2 publications · 38 citations

    2

    h-index

1–5 of 119

Venues

  1. Risk Analysis

    8 publications · 261 citations

    8

    h-index

  2. Environment International

    2 publications · 153 citations

    2

    h-index

  3. Environmental Science & Technology

    2 publications · 78 citations

    2

    h-index

  4. 2

    h-index

  5. Toxicology

    1 publications · 36 citations

    1

    h-index

1–5