ArticleStatistics in medicine2014
Relative risk estimates from spatial and space-time scan statistics: are they biased?
Article in Statistics in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
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- Differences across intersecting racial, ethnic, and gender identity in the spatiotemporal patterning of suicide clusters in the US from 2005-2020.SSM - population health · 2025Article
- Geographic inequalities and factors associated with unfavorable outcomes in diabetes-tuberculosis and diabetes-covid comorbidities in Brazil.Scientific reports · 2025Article
- Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand.Scientific reports · 2024Article
- Long-Term Effect of Temperature Increase on Liver Cancer in Australia: A Bayesian Spatial Analysis.Environmental health perspectives · 2024Article
- Spatial patterns and sociodemographic predictors of chronic obstructive pulmonary disease in Florida.PeerJ · 2024Article
- Geographic disparities in COVID-19 testing and outcomes in Florida.BMC public health · 2023Article
- Irregular Shaped Small Nodule Detection Using a Robust Scan Statistic.Statistics in biosciences · 2023Article
- Identifying Hotspots of People Diagnosed of Tuberculosis with Addiction to Alcohol, Tobacco, and Other Drugs through a Geospatial Intelligence Application in Communities from Southern Brazil.Tropical medicine and infectious disease · 2022Article
- Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong.Transactions in GIS : TG · 2021Article
- High prevalence of gastroschisis in Brazilian triple side border: A socioenvironmental spatial analysis.PloS one · 2021Article
- Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida.International journal of environmental research and public health · 2019Article
- Detection of risk clusters for deaths due to tuberculosis specifically in areas of southern Brazil where the disease was supposedly a non-problem.BMC infectious diseases · 2019Article
- Resurgence of Pertussis Infections in Shandong, China: Space-Time Cluster and Trend Analysis.The American journal of tropical medicine and hygiene · 2019Article
- Geographic disparities and temporal changes in risk of death from myocardial infarction in Florida, 2000-2014.BMC public health · 2019Article
- Is there association between human development index and tuberculosis mortality risk? Evidence from a spatial analysis study in the south of Brazil.Epidemiology and infection · 2018Article
- Neighborhood Violence Impacts Disease Control and Surveillance: Case Study of Cali, Colombia from 2014 to 2016.International journal of environmental research and public health · 2018Article
- How do social-economic differences in urban areas affect tuberculosis mortality in a city in the tri-border region of Brazil, Paraguay and Argentina.BMC public health · 2018Article
- Border analysis for spatial clusters.International journal of health geographics · 2018Article
- Spatial analysis and temporal trends of porcine reproductive and respiratory syndrome in Denmark from 2007 to 2010 based on laboratory submission data.BMC veterinary research · 2015Article
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3 authors.
Funding
Abstract
The purely spatial and space-time scan statistics have been successfully used by many scientists to detect and evaluate geographical disease clusters. Although the scan statistic has high power in correctly identifying a cluster, no study has considered the estimates of the cluster relative risk in the detected cluster. In this paper, we evaluate whether there is any bias on these estimated relative risks. Intuitively, one may expect that the estimated relative risks has upward bias, because the scan statistic cherry picks high rate areas to include in the cluster. We show that this intuition is correct for clusters with low statistical power, but with medium to high power, the bias becomes negligible. The same behavior is not observed for the prospective space-time scan statistic, where there is an increasing conservative downward bias of the relative risk as the power to detect the cluster increases.
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