Spatial Survival Models

Spatial Survival Models is a statistical modeling framework that extends survival analysis by incorporating spatially correlated random effects to account for geographic variation in time-to-event outcomes.

138

Publications

6.1K

Citations

373

Authors

246

Institutions

Publications per year

2017–2026

39

Authors

373

  1. JZ
    Jiajia Zhang

    University of South Carolina, United States

    7 publications · 179 citations

    7

    h-index

  2. TH
    Timothy Hanson

    University of South Carolina, United States

    7 publications · 208 citations

    7

    h-index

  3. SB
    Sudipto Banerjee

    University of Minnesota, United States

    7 publications · 542 citations

    7

    h-index

  4. KM
    Kerrie Mengersen

    Queensland University of Technology, Australia

    5 publications · 114 citations

    5

    h-index

  5. AL
    Andrew Lawson

    Medical University of South Carolina, United States

    5 publications · 132 citations

    5

    h-index

1–5 of 373

Venues

  1. Statistics in Medicine

    11 publications · 344 citations

    10

    h-index

  2. Journal of Wildlife Management

    6 publications · 478 citations

    6

    h-index

  3. Biometrics

    6 publications · 454 citations

    6

    h-index

  4. 5

    h-index

  5. Statistical Methods in Medical Research

    4 publications · 96 citations

    4

    h-index

1–5