Spatial Cluster Inference

Spatial Cluster Inference is a statistical methodology used in geographic epidemiology that identifies non-random aggregations of disease occurrences in space by distinguishing meaningful spatial patterns from background variation through rigorous hypothesis testing.

121

Publications

28K

Citations

342

Authors

203

Institutions

Publications per year

2017–2026

31

Authors

342

  1. MK
    Martin Kulldorff

    Harvard University, United States

    6 publications · 5.7K citations

    6

    h-index

  2. RE
    Ronald E. Gangnon

    University of Wisconsin–Madison, United States

    4 publications · 138 citations

    4

    h-index

  3. AL
    Andrew Lawson

    Medical University of South Carolina, United States

    4 publications · 113 citations

    4

    h-index

  4. TE
    Thomas E. Nichols

    University of Oxford, United Kingdom

    4 publications · 9.3K citations

    4

    h-index

  5. DB
    Daniel B. Neill

    Carnegie Mellon University, United States

    3 publications · 175 citations

    3

    h-index

1–5 of 342

Venues

  1. Statistics in Medicine

    13 publications · 2.1K citations

    12

    h-index

  2. Biometrics

    6 publications · 532 citations

    6

    h-index

  3. International Journal of Health Geographics

    5 publications · 371 citations

    5

    h-index

  4. Preventive Veterinary Medicine

    4 publications · 147 citations

    4

    h-index

  5. NeuroImage

    4 publications · 6.1K citations

    4

    h-index

1–5