A Review and Discussion of Prospective Statistical Surveillance in Public Health

Sonesson, Christian; Bock, David

doi:10.1111/1467-985x.00256

Cited by 265 publications

(180 citation statements)

References 95 publications

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“…Provider of care h ealth models were further explored in detail by Often, in provider of care treatment programs, the distinction between Phases I and II is not clear. Sonesson and Bock (2003) pointed out problems and issues related to statistically based evaluations. Researchers, often, did not examine average run length (ARL) of a proposed method over a variety of alternative process shifts.…”

Section: Univariate (Shewhart) Control Chartsmentioning

confidence: 99%

The quality movement in hospital care

Jarrett

2013

Qual Quant

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The purpose is to introduce the demand for the quality movement practice in hospital care. . We show both the need and application of quality monitoring, especially the need monitoring activities having auto correlated data flows of which there are many in the hospital environment. The goal is to control the flow of quality care data in the dynamic behavior of these systems of acre in hospitals. These monitoring systems are designed to control and improve changes in the hospital care environment. AbstractThe purpose is to introduce the demand for the quality movement practice in hospital care. . We show both the need and application of quality monitoring, especially the need monitoring activities having auto correlated data flows of which there are many in the hospital environment. The goal is to control the flow of quality care data in the dynamic behavior of these systems of acre in hospitals. These monitoring systems are designed to control and improve changes in the hospital care environment.

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Section: Univariate (Shewhart) Control Chartsmentioning

confidence: 99%

The quality movement in hospital care

Jarrett

2013

Qual Quant

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“…The alarm statistic is formed by the cumulative score. This could be motivated from a robustness perspective but implies a suboptimal procedure as a direct loss of information owing to the discretization of the data, as pointed out by Sonesson and Bock (2003).…”

Section: Suggested Statistics Under Surveillancementioning

confidence: 99%

“…In medicine it is important to detect e.g. intrauterine growth retardation (Petzold et al (2003)) or an increased incidence of a disease (Sonesson and Bock (2003)). Different medical applications are described in the special issue (no.…”

mentioning

confidence: 99%

Evaluations of Likelihood‐Based Surveillance of Volatility

Bock

2007

Financial Surveillance

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The volatility of asset returns are important in finance. Different likelihood based methods of statistical surveillance for detecting a change in the variance are evaluated. The differences are how the partial likelihood ratios are weighted. The full likelihood ratio, Shiryaev-Roberts, Shewhart and the CUSUM methods are derived in case of an independent and identically distributed Gaussian process. The behavior of the methods is studied both when there is no change and when the change occurs at different time points. The false alarms are controlled by the median run length. Differences and limiting equalities of the methods are shown. The performances when the process parameters for which the methods are optimized for differ from the true values of the parameters are evaluated. The methods are illustrated on a period of Standard and Poor's 500 stock market index.

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“…In the public health literature, the prospective methods are not as developed as the retrospective methods. Farrington and Beale 5 , Sonesson and Bock 6 , and Woodall 7 have reviewed some of the surveillance methods currently in use.…”

Section: Introductionmentioning

confidence: 99%

A one‐sided MEWMA chart for health surveillance

Joner

Woodall

Reynolds

et al. 2008

Quality & Reliability Eng

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It is often important to rapidly detect an increase in the incidence rate of a given disease or other medical condition. It has been shown that when disease counts are sequentially available from a single region, a univariate control chart designed to detect rate increases, such as a one-sided cumulative sum chart, is very effective. When disease counts are available from several regions at corresponding times, the most efficient monitoring method is not readily apparent. Multivariate monitoring methods have been suggested for dealing with this detection problem. Some of these approaches have shortcomings that have been recently demonstrated in the quality control literature. We discuss these limitations and suggest an alternative multivariate exponentially weighted moving average chart. We compare the average run-length performance of this chart with that of competing methods. We also evaluate the statistical performance of these charts when the actual increase in the disease count rate is different from the one that the chart was optimized to detect quickly. Copyright

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A Review and Discussion of Prospective Statistical Surveillance in Public Health

Cited by 265 publications

References 95 publications

The quality movement in hospital care

The quality movement in hospital care

Evaluations of Likelihood‐Based Surveillance of Volatility

A one‐sided MEWMA chart for health surveillance

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