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A scan statistic for continuous data based on the normal probability model

International journal of health geographics, 2009-10, Vol.8 (1), p.58-58

2009

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Prospective time periodic geographical disease surveillance using a scan statistic

Journal of the Royal Statistical Society. Series A, Statistics in society, 2001, Vol.164 (1), p.61-72

Kulldorff, Martin

2001

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A spatial scan statistic for multinomial data

Statistics in medicine, 2010-08, Vol.29 (18), p.1910-1918

2010

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A space-time permutation scan statistic for disease outbreak detection

PLoS medicine, 2005-03, Vol.2 (3), p.e59-e59

2005

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Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020

Emerging infectious diseases, 2021-05, Vol.27 (5), p.1500-1504

2021

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Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics

International journal of health geographics, 2016-08, Vol.15 (1), p.27-27, Article 27

2016

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A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

International journal of health geographics, 2008-04, Vol.7 (1), p.14-14

2008

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Influence of spatial resolution on space-time disease cluster detection

PloS one, 2012-10, Vol.7 (10), p.e48036-e48036

2012

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Kawasaki disease and 13-valent pneumococcal conjugate vaccination among young children: A self-controlled risk interval and cohort study with null results

PLoS medicine, 2019-07, Vol.16 (7), p.e1002844

2019

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Spatial Scan Statistic for Survival Data

Biometrics, 2007-03, Vol.63 (1), p.109-118

2007

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Calling for benefit–risk evaluations of COVID-19 control measures

The Lancet (British edition), 2021-02, Vol.397 (10274), p.576-577

2021

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Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks

JMIR public health and surveillance, 2024-06, Vol.10, p.e50653

2024

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Multivariate scan statistics for disease surveillance

Statistics in medicine, 2007-04, Vol.26 (8), p.1824-1833

2007

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A spatial scan statistic for ordinal data

Statistics in medicine, 2007-03, Vol.26 (7), p.1594-1607

2007

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Spatial disease clusters: Detection and inference

Statistics in medicine, 1995-04, Vol.14 (8), p.799-810

1995

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Power evaluation of disease clustering tests

International journal of health geographics, 2003-12, Vol.2 (1), p.9-9

2003

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Dead bird clusters as an early warning system for West Nile virus activity

Emerging infectious diseases, 2003-06, Vol.9 (6), p.641-646

2003

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Evaluation of Spatial Scan Statistics for Irregularly Shaped Clusters

Journal of computational and graphical statistics, 2006-06, Vol.15 (2), p.428-442

2006

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Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care

Circulation (New York, N.Y.), 2019-06, Vol.139 (25), p.2822-2830

2019

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Meat, meat cooking methods and preservation, and risk for colorectal adenoma

Cancer research (Chicago, Ill.), 2005-09, Vol.65 (17), p.8034-8041

2005

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Dietary Benzo[a]Pyrene Intake and Risk of Colorectal Adenoma

Cancer epidemiology, biomarkers & prevention, 2005-08, Vol.14 (8), p.2030-2034

2005

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Constrained spanning tree algorithms for irregularly-shaped spatial clustering

Computational statistics & data analysis, 2012-06, Vol.56 (6), p.1771-1783

2012

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Border analysis for spatial clusters

International journal of health geographics, 2018-02, Vol.17 (1), p.5-5, Article 5

2018

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Automated detection of infectious disease outbreaks in hospitals: a retrospective cohort study

PLoS medicine, 2010-02, Vol.7 (2), p.e1000238-e1000238

2010

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As Omicron Takes Hold and Other New Variants Arise, COVID-19 Testing Remains the Universally Agreed Tool to Effect Transition From Pandemic to Endemic State

Frontiers in public health, 2022-04, Vol.10, p.883066-883066

2022

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A scan statistic for continuous data based on the normal probability model

Prospective time periodic geographical disease surveillance using a scan statistic

A spatial scan statistic for multinomial data

A space-time permutation scan statistic for disease outbreak detection

Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June-July 2020

Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics

A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

Influence of spatial resolution on space-time disease cluster detection

Kawasaki disease and 13-valent pneumococcal conjugate vaccination among young children: A self-controlled risk interval and cohort study with null results

Spatial Scan Statistic for Survival Data

Calling for benefit–risk evaluations of COVID-19 control measures

Prospective Spatiotemporal Cluster Detection Using SaTScan: Tutorial for Designing and Fine-Tuning a System to Detect Reportable Communicable Disease Outbreaks

Multivariate scan statistics for disease surveillance

A spatial scan statistic for ordinal data

Spatial disease clusters: Detection and inference

Power evaluation of disease clustering tests

Dead bird clusters as an early warning system for West Nile virus activity

Evaluation of Spatial Scan Statistics for Irregularly Shaped Clusters

Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care

Meat, meat cooking methods and preservation, and risk for colorectal adenoma

Dietary Benzo[a]Pyrene Intake and Risk of Colorectal Adenoma

Constrained spanning tree algorithms for irregularly-shaped spatial clustering

Border analysis for spatial clusters

Automated detection of infectious disease outbreaks in hospitals: a retrospective cohort study

As Omicron Takes Hold and Other New Variants Arise, COVID-19 Testing Remains the Universally Agreed Tool to Effect Transition From Pandemic to Endemic State

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