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
Parents
121
Martin Kulldorff · Communication in Statistics- Theory and Methods · 1997 · 4K citations
Spatial disease clusters: Detection and inference
Martin Kulldorff, Neville Nagarwalla · Statistics in Medicine · 1995 · 1.6K citations
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203
University of Wisconsin–Madison
Madison, United States
5 h-index
8 publications
302 citations
Harvard University
Cambridge, United States
5 h-index
12 publications
353 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
5 h-index
13 publications
414 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
5 h-index
12 publications
689 citations

Universidade Federal de Ouro Preto
Ouro Preto, Brazil
3 h-index
5 publications
311 citations
Lancaster University
Lancaster, United Kingdom
3 h-index
3 publications
353 citations

University of Warwick
Coventry, United Kingdom
3 h-index
3 publications
3.7K citations

Brigham and Women's Hospital
Boston, United States
3 h-index
3 publications
140 citations
1–8 of 203
13 publications · 2.1K citations
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6 publications · 532 citations
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5 publications · 371 citations
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4 publications · 147 citations
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4 publications · 6.1K citations
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