Spatial Cox Regression

Spatial Cox Regression is a spatial survival model that extends the proportional hazards framework by incorporating spatially correlated random effects to account for geographic heterogeneity in time-to-event data.

29

Publications

2.3K

Citations

105

Authors

73

Institutions

Publications per year

2017–2026

9

Authors

105

  1. EE
    Eugenia E. Calle

    American Cancer Society, United States

    2 publications · 1.1K citations

    2

    h-index

  2. MJ
    Michael Jerrett

    University of California, Berkeley, United States

    2 publications · 1.1K citations

    2

    h-index

  3. DK
    Daniel Krewski

    University of Ottawa, Canada

    2 publications · 1.1K citations

    2

    h-index

  4. KB
    K. Bruce Newbold

    McMaster University, Canada

    2 publications · 1.1K citations

    2

    h-index

  5. TM
    Tilman M. Davies

    University of Otago, New Zealand

    2 publications · 75 citations

    2

    h-index

1–5 of 105

Venues

  1. PLoS Computational Biology

    2 publications · 45 citations

    2

    h-index

  2. The Annals of Applied Statistics

    AOAS · 2 publications · 192 citations

    2

    h-index

  3. Epidemiology

    2 publications · 1.1K citations

    2

    h-index

  4. Environment and Planning A Economy and Space

    1 publications · 15 citations

    1

    h-index

  5. Biometrics

    1 publications · 108 citations

    1

    h-index

1–5