pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clusteri ...

Authors: Saman Jirjies, Garrick Wallstrom, Rolf U. Halden, Matthew Scotch Title: pyJacqQ: python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies Abstract: Jacquez's Q is a set of statistics for detecting the presence and location of space-time clusters of disease exposure. Until now, the only implementation was available in the proprietary SpaceStat software which is not suitable for a pipeline linux environment. We have developed an open source implementation of Jacquez's Q statistics in Python using an object-oriented approach. The most recent source code for the implementation is available at https://github.com/sjirjies/pyJacqQ under the GPL-3. It has a command line interface and a Python application programming interface. Page views: : 0. Submitted: 2015-06-19. Published: 2016-10-20. Paper: pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control StudiesDownload PDF (Downloads: 0) Supplements: pyJacqQ.zip: Python source code Download (Downloads: 0; 638KB) v74i06-replication.zip: Replication materials Download (Downloads: 0; 2KB) DOI: 10.18637/jss.v074.i06

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