Abstract:
:This paper introduces a new spatial scan statistic designed to adjust cluster detection for longitudinal confounding factors indexed in space. The functional-model-adjusted statistic was developed using generalized functional linear models in which longitudinal confounding factors were considered to be functional covariates. A general framework was developed for application to various probability models. Application to a Poisson model showed that the new method is equivalent to a conventional spatial scan statistic that adjusts the underlying population for covariates. In a simulation study with single and multiple covariate models, we found that our new method adjusts the cluster detection procedure more accurately than other methods. Use of the new spatial scan statistic was illustrated by analyzing data on premature mortality in France over the period from 1998 to 2013, with the quarterly unemployment rate as a longitudinal confounding factor.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Ahmed MS,Genin Mdoi
10.1002/sim.8459subject
Has Abstractpub_date
2020-04-15 00:00:00pages
1025-1040issue
8eissn
0277-6715issn
1097-0258journal_volume
39pub_type
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