ArticleEnvironmental health : a global access science source2009
Spatial analysis of bladder, kidney, and pancreatic cancer on upper Cape Cod: an application of generalized additive models to case-control data.
Article in Environmental health : a global access science source, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 107 citations in OpenAlex.
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- Spatial Epidemiology of Pancreatic Cancer in South Dakota.Journal of gastrointestinal cancer · 2020Article
- Smoothed Temporal Atlases of Age-Gender All-Cause Mortality in South Africa.International journal of environmental research and public health · 2017Article
- City-Specific Spatiotemporal Infant and Neonatal Mortality Clusters: Links with Socioeconomic and Air Pollution Spatial Patterns in France.International journal of environmental research and public health · 2016Article
- Applying spatial analysis tools in public health: an example using SaTScan to detect geographic targets for colorectal cancer screening interventions.Preventing chronic disease · 2014Article
- Residential mobility and breast cancer in Marin County, California, USA.International journal of environmental research and public health · 2013Article
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- Adjusted significance cutoffs for hypothesis tests applied with generalized additive models with bivariate smoothers.Spatial and spatio-temporal epidemiology · 2011Article
- Residential proximity to environmental hazards and adverse health outcomes.American journal of public health · 2011Review
- Spatial-temporal analysis of non-Hodgkin lymphoma in the NCI-SEER NHL case-control study.Environmental health : a global access science source · 2011Article
- Generalized Additive Models and Inflated Type I Error Rates of Smoother Significance Tests.Computational statistics & data analysis · 2011Article
- Power of permutation tests using generalized additive models with bivariate smoothers.Journal of biometrics & biostatistics · 2010Article
- A power comparison of generalized additive models and the spatial scan statistic in a case-control setting.International journal of health geographics · 2010Article
- Evaluation of the performance of tests for spatial randomness on prostate cancer data.International journal of health geographics · 2009Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundIn 1988, elevated cancer incidence in upper Cape Cod, Massachusetts prompted a large epidemiological study of nine cancers to investigate possible environmental risk factors. Positive associations were observed, but explained only a portion of the excess cancer incidence. This case-control study provided detailed information on individual-level covariates and residential history that can be spatially analyzed using generalized additive models (GAMs) and geographical information systems (GIS).
methodsWe investigated the association between residence and bladder, kidney, and pancreatic cancer on upper Cape Cod. We estimated adjusted odds ratios using GAMs, smoothing on location. A 40-year residential history allowed for latency restrictions. We mapped spatially continuous odds ratios using GIS and identified statistically significant clusters using permutation tests.
resultsMaps of bladder cancer are essentially flat ignoring latency, but show a statistically significant hot spot near known Massachusetts Military Reservation (MMR) groundwater plumes when 15 years latency is assumed. The kidney cancer map shows significantly increased ORs in the south of the study area and decreased ORs in the north.
conclusionSpatial epidemiology using individual level data from population-based studies addresses many methodological criticisms of cluster studies and generates new exposure hypotheses. Our results provide evidence for spatial clustering of bladder cancer near MMR plumes that suggest further investigation using detailed exposure modeling.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.