Efficient change detection methods for bio and healthcare surveillance

[1]  J C Benneyan,et al.  Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part II: Chart Use, Statistical Properties, and Research Issues , 1998, Infection Control & Hospital Epidemiology.

[2]  M. Pollak.  Optimal Detection of a Change in Distribution , 1985 .

[3]  M. Srivastava,et al.  Comparison of EWMA, CUSUM and Shiryayev-Roberts Procedures for Detecting a Shift in the Mean , 1993 .

[4]  G. Lorden.  PROCEDURES FOR REACTING TO A CHANGE IN DISTRIBUTION , 1971 .

[5]  Martin Kulldorff,et al.  Benchmark data and power calculations for evaluating disease outbreak detection methods. , 2004, MMWR supplements.

[6]  S. Crowder.  A simple method for studying run-length distribution of exponentially weighted moving average charts , 1987 .

[7]  T. Lai.  SEQUENTIAL ANALYSIS: SOME CLASSICAL PROBLEMS AND NEW CHALLENGES , 2001 .

[8]  Tze Leung Lai,et al.  Information Bounds and Quick Detection of Parameter Changes in Stochastic Systems , 1998, IEEE Trans. Inf. Theory.

[9]  William H Woodall,et al.  Detecting a rate increase using a Bernoulli scan statistic , 2008, Statistics in medicine.

[10]  R. Kass,et al.  Shrinkage Estimators for Covariance Matrices , 2001, Biometrics.

[11]  Michèle Basseville,et al.  Detection of abrupt changes: theory and application , 1993 .

[12]  S. W. Roberts.  A Comparison of Some Control Chart Procedures , 1966 .

[13]  D. F. Morrison,et al.  Multivariate Statistical Methods , 1968 .

[14]  Douglas C. Montgomery,et al.  Statistical Quality Control , 2008 .

[15]  R. Platt,et al.  A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. , 2004, American journal of epidemiology.

[16]  Wei Jiang,et al.  A statistical process control approach to business activity monitoring , 2007 .

[17]  S. Steiner,et al.  Monitoring surgical performance using risk-adjusted cumulative sum charts. , 2000, Biostatistics.

[18]  F. J. Anscombe,et al.  THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA , 1948 .

[19]  J. Weatherall,et al.  Surveillance of malformations. , 1977, British medical bulletin.

[20]  H. Vincent Poor,et al.  Quickest Detection: Probabilistic framework , 2008 .

[21]  Stephen V. Crowder,et al.  Design of Exponentially Weighted Moving Average Schemes , 1989 .

[22]  Ross Sparks,et al.  Understanding sources of variation in syndromic surveillance for early warning of natural or intentional disease outbreaks , 2010 .

[23]  E. S. Page.  CONTINUOUS INSPECTION SCHEMES , 1954 .

[24]  Abdel-Salam G. Abdel-Salam,et al.  On the use and evaluation of prospective scan methods for health‐related surveillance , 2007 .

[25]  Noor Azina Ismail,et al.  ‘Online’ monitoring and retrospective analysis of hospital outcomes based on a scan statistic , 2003, Statistics in medicine.

[26]  Wei Jiang,et al.  A theoretical framework and efficiency study of multivariate statistical process control charts , 2008 .

[27]  William H. Woodall,et al.  A one‐sided MEWMA chart for health surveillance , 2008, Qual. Reliab. Eng. Int..

[28]  Peter A. Rogerson,et al.  Monitoring point patterns for the development of space–time clusters , 2001 .

[29]  Allyson M. Abrams,et al.  A model-adjusted space–time scan statistic with an application to syndromic surveillance , 2005, Epidemiology and Infection.

[30]  Yajun Mei,et al.  EARLY DETECTION OF A CHANGE IN POISSON RATE AFTER ACCOUNTING FOR POPULATION SIZE EFFECTS , 2011 .

[31]  S. W. Roberts.  Control chart tests based on geometric moving averages , 2000 .

[32]  P. Robinson,et al.  Average Run Lengths of Geometric Moving Average Charts by Numerical Methods , 1978 .

[33]  Vern T. Farewell,et al.  An overview of risk‐adjusted charts , 2004 .

[34]  Alexander G. Tartakovsky,et al.  Asymptotic Optimality of Change-Point Detection Schemes in General Continuous-Time Models , 2006 .

[35]  J C Benneyan,et al.  Statistical Quality Control Methods in Infection Control and Hospital Epidemiology, Part I Introduction and Basic Theory , 1998, Infection Control & Hospital Epidemiology.

[36]  Connie M. Borror,et al.  Poisson EWMA Control Charts , 1998 .

[37]  Gregory F Cooper,et al.  Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs , 2007, Statistics in medicine.

[38]  Y. Ritov.  Decision Theoretic Optimality of the Cusum Procedure , 1990 .

[39]  William H. Woodall,et al.  The Use of Control Charts in Health-Care and Public-Health Surveillance , 2006 .

[40]  Fah Fatt Gan,et al.  Monitoring Poisson observations using modified exponentially weighted moving average control charts , 1990 .

[41]  Kwok-Leung Tsui,et al.  Multivariate control charts based on loss functions , 1993 .

[42]  James M. Lucas,et al.  Exponentially weighted moving average control schemes: Properties and enhancements , 1990 .

[43]  William H. Woodall,et al.  Control Charts for Poisson Count Data with Varying Sample Sizes , 2010 .

[44]  Joseph Naus,et al.  Temporal surveillance using scan statistics , 2006, Statistics in medicine.

[45]  D. Siegmund,et al.  Sequential Detection of a Change in a Normal Mean when the Initial Value is Unknown , 1991 .

[46]  Y. Mei.  Efficient scalable schemes for monitoring a large number of data streams , 2010 .

[47]  Wei Jiang,et al.  Proportional Integral Derivative Charts for Process Monitoring , 2002, Technometrics.

[48]  William H. Woodall,et al.  Control Charts Based on Attribute Data: Bibliography and Review , 1997 .

[49]  William H. Woodall,et al.  A Note on the Poisson Likelihood Ratio Test Statistic for Kulldorff's Scan Methods , 2008 .

[50]  Elisabeth J. Umble,et al.  Cumulative Sum Charts and Charting for Quality Improvement , 2001, Technometrics.

[51]  T Tango,et al.  A class of tests for detecting 'general' and 'focused' clustering of rare diseases. , 1995, Statistics in medicine.

[52]  W. Woodall,et al.  Multivariate CUSUM Quality- Control Procedures , 1985 .

[53]  Muni S. Srivastava,et al.  Evaluatiok of optimum weights and average run lenghts in ewma control schemes , 1997 .

[54]  A. Shiryaev.  On Optimum Methods in Quickest Detection Problems , 1963 .

[55]  D. Hawkins.  Multivariate quality control based on regression-adjusted variables , 1991 .

[56]  E G Knox,et al.  The Detection of Space‐Time Interactions , 1964 .

[57]  L. Hutwagner,et al.  The bioterrorism preparedness and response Early Aberration Reporting System (EARS) , 2003, Journal of Urban Health.

[58]  S. Crowder.  Average Run Lengths of Exponentially Weighted Moving Average Control Charts , 1987 .

[59]  C C Spicer,et al.  The computer surveillance of congenital malformations. , 1968, British medical bulletin.

[60]  Zachary G. Stoumbos,et al.  A CUSUM Chart for Monitoring a Proportion When Inspecting Continuously , 1999 .

[61]  Marianne Frisén,et al.  Properties and Use of the Shewhart Method and Its Followers , 2007 .

[62]  Małgorzata Roos,et al.  Runs and Scans With Applications , 2001 .

[63]  R F Raubertas,et al.  An analysis of disease surveillance data that uses the geographic locations of the reporting units. , 1989, Statistics in medicine.

[64]  M. Kulldorff.  A spatial scan statistic , 1997 .

[65]  George C. Runger,et al.  Comparison of multivariate CUSUM charts , 1990 .

[66]  J. Stuart Hunter,et al.  The exponentially weighted moving average , 1986 .

[67]  Douglas C. Montgomery,et al.  Some Statistical Process Control Methods for Autocorrelated Data , 1991 .

[68]  Peter R. Winters,et al.  Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .

[69]  Layth C. Alwan,et al.  Time-Series Modeling for Statistical Process Control , 1988 .

[70]  Wei Jiang,et al.  A One-Sided EWMA Control Chart for Monitoring Process Means , 2007, Commun. Stat. Simul. Comput..

[71]  D. Bates,et al.  Mixed-Effects Models in S and S-PLUS , 2001 .

[72]  Peter A Rogerson,et al.  Approaches to syndromic surveillance when data consist of small regional counts. , 2004, MMWR supplements.

[73]  James M. Lucas,et al.  Counted Data CUSUM's , 1985 .

[74]  Stephen V. Crowder,et al.  Average run lengths of EWMA control charts for monitoring a process standard deviation , 1992 .

[75]  D. A. Evans,et al.  An approach to the probability distribution of cusum run length , 1972 .

[76]  Martin Kulldorff,et al.  Prospective time periodic geographical disease surveillance using a scan statistic , 2001 .

[77]  Benjamin Yakir,et al.  Optimal detection of a change in distribution when the observations form a Markov chain with a finite state space , 1994 .

[78]  Seoung Bum Kim,et al.  A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates , 2010, Qual. Reliab. Eng. Int..

[79]  Rina Chen,et al.  A Survillance System for Congenital Malformations , 1978 .

[80]  Qiwei Yao.  Asymptotically optimal ditiction of a change in a linear model , 1993 .

[81]  Galit Shmueli,et al.  Statistical issues and challenges associated with rapid detection of bio‐terrorist attacks , 2005, Statistics in medicine.

[82]  O. Aalen.  Nonparametric Inference for a Family of Counting Processes , 1978 .

[83]  R. Crosier.  Multivariate generalizations of cumulative sum quality-control schemes , 1988 .

[84]  J. Healy.  A note on multivariate CUSUM procedures , 1987 .

[85]  M. Arellano.  Panel Data Econometrics , 2002 .

[86]  Howard S. Burkom,et al.  Statistical Challenges Facing Early Outbreak Detection in Biosurveillance , 2010, Technometrics.

[87]  Galit Shmueli,et al.  Automated time series forecasting for biosurveillance , 2007, Statistics in medicine.

[88]  George C. Runger,et al.  Multivariate one-sided control charts , 2006 .

[89]  Jianqing Fan,et al.  Data‐Driven Bandwidth Selection in Local Polynomial Fitting: Variable Bandwidth and Spatial Adaptation , 1995 .

[90]  Irène Gijbels,et al.  Understanding exponential smoothing via kernel regression , 1999 .

[91]  Tze Leung Lai,et al.  Saddlepoint approximations and nonlinear boundary crossing probabilities of Markov random walks , 2002 .

[92]  Charles W. Champ,et al.  A multivariate exponentially weighted moving average control chart , 1992 .

[93]  Michael R. Chernick,et al.  Runs and Scans With Applications , 2002, Technometrics.

[94]  Kwok-Leung Tsui,et al.  A Review of Healthcare, Public Health, and Syndromic Surveillance , 2008 .

[95]  William H Woodall,et al.  Use of the local Knox statistic for the prospective monitoring of disease occurrences in space and time , 2007, Statistics in medicine.

[96]  Alʹbert Nikolaevich Shiri︠a︡ev,et al.  Optimal Stopping and Free-Boundary Problems , 2006 .

[97]  Narayanaswamy Balakrishnan,et al.  Scan Statistics and Applications , 2012 .

[98]  Christian Sonesson,et al.  A CUSUM framework for detection of space–time disease clusters using scan statistics , 2007, Statistics in medicine.

[99]  G. Moustakides.  Optimal stopping times for detecting changes in distributions , 1986 .

[100]  Emmanuel Yashchin,et al.  Weighted Cumulative Sum Technique , 1989 .

[101]  S. Resnick.  A Probability Path , 1999 .

[102]  Douglas M. Hawkins,et al.  Regression Adjustment for Variables in Multivariate Quality Control , 1993 .

[103]  Wei Jiang,et al.  Spatiotemporal surveillance methods in the presence of spatial correlation , 2011, Statistics in medicine.

[104]  E. Yashchin.  Statistical Control Schemes: Methods, Applications and Generalizations , 1993 .

[105]  D. Siegmund,et al.  A diffusion process and its applications to detecting a change in the drift of Brownian motion , 1984 .

[106]  P A Rogerson,et al.  Surveillance systems for monitoring the development of spatial patterns. , 1997, Statistics in medicine.

[107]  Peter A Rogerson,et al.  Monitoring change in spatial patterns of disease: comparing univariate and multivariate cumulative sum approaches , 2004, Statistics in medicine.

[108]  Ronald D. Fricker,et al.  Protecting against Biological Terrorism: Statistical Issues in Electronic Biosurveillance , 2006 .

[109]  C. Holt.  Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .

[110]  J. Bert Keats,et al.  ARLs and Higher-Order Run-Length Moments for the Poisson CUSUM , 1996 .