Shared Component Models

Shared Component Models is a statistical modeling framework in Bayesian disease mapping that characterizes spatially structured risks by assuming a common latent spatial factor underlying multiple related diseases or health outcomes.

50

Publications

3K

Citations

186

Authors

123

Institutions

Publications per year

2017–2026

15

Authors

186

  1. YF
    Ya Fang

    Xiamen University, China

    3 publications · 74 citations

    3

    h-index

  2. SM
    Samuel Manda

    South African Medical Research Council, South Africa

    3 publications · 108 citations

    3

    h-index

  3. CR
    Chetan Ramaiah

    University at Buffalo, State University of New York, United States

    2 publications · 51 citations

    2

    h-index

  4. GT
    George Trigeorgis

    Imperial College London, United Kingdom

    2 publications · 1.4K citations

    2

    h-index

  5. DE
    Dumitru Erhan

    Google (United States), United States

    2 publications · 1.4K citations

    2

    h-index

1–5 of 186

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 1.4K citations

    3

    h-index

  2. Statistics in Medicine

    3 publications · 84 citations

    3

    h-index

  3. PLoS ONE

    2 publications · 86 citations

    2

    h-index

  4. 2

    h-index

  5. BMC Public Health

    2 publications · 40 citations

    2

    h-index

1–5