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Semiparametric approach to point source modelling in epidemiology and criminology
Author(s) -
Rodrigues Alexandre,
Diggle Peter,
Assuncao Renato
Publication year - 2010
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2009.00708.x
Subject(s) - semiparametric model , parametric statistics , econometrics , flexibility (engineering) , psychological intervention , point process , computer science , point (geometry) , set (abstract data type) , statistics , mathematics , psychology , geometry , psychiatry , programming language
Summary. By treating the conditional approach that was suggested by Diggle and Rowlingson as a generalized additive model, we provide a semiparametric method for point process modelling with point source interventions. We illustrate the flexibility of this approach with two applications. The first is a reanalysis of an epidemiological case–control data set in which we compare the semiparametric fit with a previously reported parametric model. The second is an application to a complex intervention in the Brazilian city of Belo Horizonte, in which we show how the installation of 60 closed‐circuit television cameras has changed the spatial distribution of crimes within an area of high criminal activity.