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
Parents
138
A Spatial Scan Statistic for Survival Data
Lan Huang, Martin Kulldorff, David I. Gregorio · Biometrics · 2006 · 199 citations
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University of Minnesota
Minneapolis, United States
11 h-index
16 publications
848 citations
University of South Carolina
Columbia, United States
11 h-index
17 publications
480 citations

Queensland University of Technology
Brisbane, Australia
6 h-index
21 publications
579 citations
University of Connecticut
Storrs, United States
6 h-index
8 publications
387 citations
Medical University of South Carolina
Charleston, United States
5 h-index
10 publications
223 citations
Lancaster University
Lancaster, United Kingdom
4 h-index
5 publications
99 citations
Cancer Council Queensland
Fortitude Valley, Australia
4 h-index
10 publications
268 citations
Ludwig-Maximilians-Universität München
Munich, Germany
4 h-index
8 publications
598 citations
1–8 of 246
11 publications · 344 citations
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6 publications · 478 citations
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6 publications · 454 citations
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5 publications · 380 citations
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4 publications · 96 citations
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