Statistical methods for anomalous discrete time series based on minimum cell count

Chih-Chieh Wu, Roger C. Grimson, Christopher I. Amos, Sanjay Shete

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Temporal incidence patterns of point epidemics often contain periods of unusually low or high frequencies. Identifying variations in incidence frequencies, which may be caused by changes in exposure to infectious or environmental agents, may provide important insights into the pathogenesis or etiology of a disease. We propose and formulate new statistical tests for temporal and space-time anomalies that are based on the minimum frequency in a unit of time and that are meaningful for the characteristic incidence patterns of the cases studied. Among the most widely applied methods are the Ederer-Myers-Mantel test, the Maxima test, and the scan test, which are all sensitive to the maximum frequency within a short period of time. We elucidate the importance and utility of our new tests and the existing tests and suggest a systematic statistical analysis of reported disease anomalies using these tests combined. Data on a temporal series of adolescent suicide from the US National Center for Health Statistics were analyzed using these methods.

Original languageEnglish
Pages (from-to)86-96
Number of pages11
JournalBiometrical Journal
Volume50
Issue number1
DOIs
Publication statusPublished - 2008 Feb 1

Fingerprint

Statistical method
Anomalous
Count
Discrete-time
Series
Cell
Incidence
Anomaly
Unit of time
Statistical test
Period of time
Statistical Analysis
Low Frequency
Statistical methods
Health
Space-time
Statistics

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Wu, Chih-Chieh ; Grimson, Roger C. ; Amos, Christopher I. ; Shete, Sanjay. / Statistical methods for anomalous discrete time series based on minimum cell count. In: Biometrical Journal. 2008 ; Vol. 50, No. 1. pp. 86-96.
@article{eb9dcc4843304a7da4cc5a33e924e44b,
title = "Statistical methods for anomalous discrete time series based on minimum cell count",
abstract = "Temporal incidence patterns of point epidemics often contain periods of unusually low or high frequencies. Identifying variations in incidence frequencies, which may be caused by changes in exposure to infectious or environmental agents, may provide important insights into the pathogenesis or etiology of a disease. We propose and formulate new statistical tests for temporal and space-time anomalies that are based on the minimum frequency in a unit of time and that are meaningful for the characteristic incidence patterns of the cases studied. Among the most widely applied methods are the Ederer-Myers-Mantel test, the Maxima test, and the scan test, which are all sensitive to the maximum frequency within a short period of time. We elucidate the importance and utility of our new tests and the existing tests and suggest a systematic statistical analysis of reported disease anomalies using these tests combined. Data on a temporal series of adolescent suicide from the US National Center for Health Statistics were analyzed using these methods.",
author = "Chih-Chieh Wu and Grimson, {Roger C.} and Amos, {Christopher I.} and Sanjay Shete",
year = "2008",
month = "2",
day = "1",
doi = "10.1002/bimj.200610374",
language = "English",
volume = "50",
pages = "86--96",
journal = "Biometrical Journal",
issn = "0323-3847",
publisher = "Wiley-VCH Verlag",
number = "1",

}

Statistical methods for anomalous discrete time series based on minimum cell count. / Wu, Chih-Chieh; Grimson, Roger C.; Amos, Christopher I.; Shete, Sanjay.

In: Biometrical Journal, Vol. 50, No. 1, 01.02.2008, p. 86-96.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Statistical methods for anomalous discrete time series based on minimum cell count

AU - Wu, Chih-Chieh

AU - Grimson, Roger C.

AU - Amos, Christopher I.

AU - Shete, Sanjay

PY - 2008/2/1

Y1 - 2008/2/1

N2 - Temporal incidence patterns of point epidemics often contain periods of unusually low or high frequencies. Identifying variations in incidence frequencies, which may be caused by changes in exposure to infectious or environmental agents, may provide important insights into the pathogenesis or etiology of a disease. We propose and formulate new statistical tests for temporal and space-time anomalies that are based on the minimum frequency in a unit of time and that are meaningful for the characteristic incidence patterns of the cases studied. Among the most widely applied methods are the Ederer-Myers-Mantel test, the Maxima test, and the scan test, which are all sensitive to the maximum frequency within a short period of time. We elucidate the importance and utility of our new tests and the existing tests and suggest a systematic statistical analysis of reported disease anomalies using these tests combined. Data on a temporal series of adolescent suicide from the US National Center for Health Statistics were analyzed using these methods.

AB - Temporal incidence patterns of point epidemics often contain periods of unusually low or high frequencies. Identifying variations in incidence frequencies, which may be caused by changes in exposure to infectious or environmental agents, may provide important insights into the pathogenesis or etiology of a disease. We propose and formulate new statistical tests for temporal and space-time anomalies that are based on the minimum frequency in a unit of time and that are meaningful for the characteristic incidence patterns of the cases studied. Among the most widely applied methods are the Ederer-Myers-Mantel test, the Maxima test, and the scan test, which are all sensitive to the maximum frequency within a short period of time. We elucidate the importance and utility of our new tests and the existing tests and suggest a systematic statistical analysis of reported disease anomalies using these tests combined. Data on a temporal series of adolescent suicide from the US National Center for Health Statistics were analyzed using these methods.

UR - http://www.scopus.com/inward/record.url?scp=41149168715&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=41149168715&partnerID=8YFLogxK

U2 - 10.1002/bimj.200610374

DO - 10.1002/bimj.200610374

M3 - Article

C2 - 17853406

AN - SCOPUS:41149168715

VL - 50

SP - 86

EP - 96

JO - Biometrical Journal

JF - Biometrical Journal

SN - 0323-3847

IS - 1

ER -