BACKGROUND The traditional Serfling-type approach for influenza-like illness surveillance requires long historical time-series. We retrospectively evaluated the use of recent, short, historical time-series for recognizing the onset of community outbreaks of respiratory tract infections (RTIs). METHODS The data used referred to the proportion of diagnoses for upper or lower RTIs to total diagn...

The plotting of cumulative sums (cusums), a technique of proven value in the detection of trends in data collected at intervals of time, may be modified to analyze circadian blood pressure patterns quantitatively. Mean 24-hour ambulatory blood pressure is taken as the reference value and is subtracted from each pressure value. The products of the remainders and the corresponding time intervals ...

In order to monitor a medical center's survival outcomes using simple plots, we introduce a risk-adjusted Observed-Expected (O-E) Cumulative SUM (CUSUM) along with monitoring bands as decision criterion.The proposed monitoring bands can be used in place of a more traditional but complicated V-shaped mask or the simultaneous use of two one-sided CUSUMs. The resulting plot is designed to simultan...

The statistical cumulative sum (CUSUM) chart is a powerful tool for monitoring the attribute quality variable in manufacturing industry. In this article, we studied the multiplicity problem caused by simultaneously monitoring more than one attribute quality variable. Multiple binomial and Poisson CUSUM charts incorporating a multiple hypothesis testing technique known as false discovery rate co...

This paper compares the performance of three detection methods, entitled C1, C2, and C3, that are implemented in the early aberration reporting system (EARS) and other syndromic surveillance systems versus the CUSUM applied to model-based prediction errors. The cumulative sum (CUSUM) performed significantly better than the EARS' methods across all of the scenarios we evaluated. These scenarios ...

The most commonly used statistical process control charts to detect special causes are Shewhart and Cusum charts. However, the Cuscore chart is a contemporary alternative that is especially well suited for detecting special causes that can be modeled in advance based on their characteristic effect on the system. In this paper, we develop the appropriate Cuscore statistic and the required contro...

A classical test for the detection of level shifts in such weakly dependent data is the CUSUM test, which compares the partial sum of the first m observations to the sum of all observations for each candidate change-point m, and maximizes this statistic with respect to m after some appropriate scaling. Asymptotical critical values for the CUSUM test can be calculated from tables of the Kolmogor...

STUDY DESIGN Prospective randomized controlled trial. OBJECTIVE The aim of this study was to monitor the quality control of robot-assisted pedicle screw fixation accuracy by using a cumulative summation (CUSUM) test at the initial stage of its application. SUMMARY OF BACKGROUND DATA Although robot-assisted pedicle screw fixation reduces screw misplacement rates and provides critical support...

It is a major challenge for a detection algorithm to maintain high detection probability and low false alarms simultaneously. In this paper, we propose an adaptive CUSUM algorithm (ACS) to robustly detect an anomaly, which is defined as system behavior that deviates from its expected values. By embedding a sliding model control (SMC) controller into a CUSUM detector, ACS effectively prevents un...