pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies

pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies

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...

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Bibliographic Details
Main Authors: Saman Jirjies, Garrick Wallstrom, Rolf U. Halden, Matthew Scotch
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2016-10-01
Series:Journal of Statistical Software
Subjects:
Python
epidemiology
Jacquez's Q
clustering
public health
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2892
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spelling doaj-cccf24e1763d4e668dab8394f4504b6d2020-11-24T23:05:57ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602016-10-0174111910.18637/jss.v074.i061055pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control StudiesSaman JirjiesGarrick WallstromRolf U. HaldenMatthew ScotchJacquez'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.https://www.jstatsoft.org/index.php/jss/article/view/2892PythonepidemiologyJacquez's Qclusteringpublic health
collection DOAJ
language English
format Article
sources DOAJ
author Saman Jirjies
Garrick Wallstrom
Rolf U. Halden
Matthew Scotch
spellingShingle Saman Jirjies
Garrick Wallstrom
Rolf U. Halden
Matthew Scotch
pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
Journal of Statistical Software
Python
epidemiology
Jacquez's Q
clustering
public health
author_facet Saman Jirjies
Garrick Wallstrom
Rolf U. Halden
Matthew Scotch
author_sort Saman Jirjies
title pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
title_short pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
title_full pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
title_fullStr pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
title_full_unstemmed pyJacqQ: Python Implementation of Jacquez's Q-Statistics for Space-Time Clustering of Disease Exposure in Case-Control Studies
title_sort pyjacqq: python implementation of jacquez's q-statistics for space-time clustering of disease exposure in case-control studies
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2016-10-01
description 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.
topic Python
epidemiology
Jacquez's Q
clustering
public health
url https://www.jstatsoft.org/index.php/jss/article/view/2892
work_keys_str_mv AT samanjirjies pyjacqqpythonimplementationofjacquezsqstatisticsforspacetimeclusteringofdiseaseexposureincasecontrolstudies
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AT rolfuhalden pyjacqqpythonimplementationofjacquezsqstatisticsforspacetimeclusteringofdiseaseexposureincasecontrolstudies
AT matthewscotch pyjacqqpythonimplementationofjacquezsqstatisticsforspacetimeclusteringofdiseaseexposureincasecontrolstudies
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