A spatial scan statistic for survival data based on Weibull distribution

2013 ◽  
Vol 33 (11) ◽  
pp. 1867-1876 ◽  
Author(s):  
Vijaya Bhatt ◽  
Neeraj Tiwari
Keyword(s):  
Weibull Distribution ◽  
Survival Data ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

scholarly journals Optimizing the maximum reported cluster size in the spatial scan statistic for survival data

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Sujee Lee ◽  
Jisu Moon ◽  
Inkyung Jung
Keyword(s):  
Survival Data ◽  
Cluster Size ◽  
Total Population ◽  
Window Size ◽  
Cluster Detection ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Detection Analysis ◽  
Scanning Window ◽  
Spatial Scan

Abstract Background The spatial scan statistic is a useful tool for cluster detection analysis in geographical disease surveillance. The method requires users to specify the maximum scanning window size or the maximum reported cluster size (MRCS), which is often set to 50% of the total population. It is important to optimize the maximum reported cluster size, keeping the maximum scanning window size at as large as 50% of the total population, to obtain valid and meaningful results. Results We developed a measure, a Gini coefficient, to optimize the maximum reported cluster size for the exponential-based spatial scan statistic. The simulation study showed that the proposed method mostly selected the optimal MRCS, similar to the true cluster size. The detection accuracy was higher for the best chosen MRCS than at the default setting. The application of the method to the Korea Community Health Survey data supported that the proposed method can optimize the MRCS in spatial cluster detection analysis for survival data. Conclusions Using the Gini coefficient in the exponential-based spatial scan statistic can be very helpful for reporting more refined and informative clusters for survival data.

scholarly journals A Spatial Scan Statistic for Survival Data

Biometrics ◽  
2006 ◽  
Vol 63 (1) ◽  
pp. 109-118 ◽  
Author(s):  
Lan Huang ◽  
Martin Kulldorff ◽  
David Gregorio
Keyword(s):  
Survival Data ◽  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

scholarly journals New developments in the spatial scan statistic

2013 ◽  
Vol 39 (1) ◽  
pp. 36-47 ◽  
Author(s):  
Simon Read ◽  
Peter A. Bath ◽  
Peter Willett ◽  
Ravi Maheswaran
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
New Developments ◽  
Spatial Scan

Zero-inflated Bell scan: A more flexible spatial scan statistic

2020 ◽  
Vol 36 ◽  
pp. 100433
Author(s):  
Ali Abolhassani ◽  
Marcos O. Prates ◽  
Fredy Castellares ◽  
Safieh Mahmoodi
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Spatial Scan

Comments on “A spatial scan statistic for compound Poisson data”

2019 ◽  
Vol 38 (7) ◽  
pp. 1297-1299 ◽  
Author(s):  
Fredy Castellares ◽  
Marcos O. Prates ◽  
Ali Abolhassani
Keyword(s):  
Spatial Scan Statistic ◽  
Scan Statistic ◽  
Compound Poisson ◽  
Spatial Scan ◽  
Poisson Data
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