BEFORE the War, quality control methods of the statistical type were to be found in comparatively few industries. The War itself saw them introduced, frequently under Government auspices, into a wide range of industries which had previously never used them ; and in consequence there was a sudden load on the available training centres, particularly in the United States, which had any acquaintance with this kind of work. Stanford University bore a full share in the training schemes which were drawn up, and Prof. Grant, who had been lecturing there on the applications of statistical methods to engineering for some seventeen years, found his field of engagements greatly enlarged. His experience as a teacher has now assumed concrete form in this book, which exhibits throughout a most admirable appreciation of the practical aspects of the subject.

Automated expert systems provide a reliable and effective way to improve patient safety in a hospital environment. Their ability to analyze large amounts of data without fatigue is a decided advantage over clinicians who perform the same tasks. As dependence on expert systems increase and the systems become more complex, it is important to closely monitor their performance. Failure to generate alerts can jeopardize the health and safety of patients, while generating excessive false positive alerts can lead to valid alerts being dismissed as noise. In this study, statistical process control charts were used to monitor an expert system, and the strengths and weaknesses of this technology are presented.


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Research on the interactions of tumors with their local tissue environment requires live animal assays to fully understand the process of cancer progression. Recognizing this need, researchers have made significant progress in the noninvasive imaging of animal models of cancer. By imaging the animal at multiple time points, we can better understand disease pathology, pharmacokinetics and other contextual aspects of the molecular processes taking place in the living animal. Additionally, in whole-animal imaging, each animal serves as its own statistical control, which improves the statistical quality of the data and thus reduces the required number of animals. At the forefront of this technol...

Grant was awarded many academic and professional honors such as an honorary doctorate in civil engineering at Montana State University; Fellow of the American Statistical Association, American Society for Quality(ASQ) and the American Association for the Advancement of Science as well as membership in the National Academy of Engineering in 1987.[1] He was part of the effort to found the American Society for Quality which awarded Grant its top award, the Shewhart Medal in 1952. In 1967, ASQ created the E.L. Grant Award which is granted annually to the individual who has been deemed to have demonstrated outstanding leadership in the areas of educational programs in quality. Joseph Juran said that Grant was a "quiet doer who didn't receive enough credit for what he did" and did much to advance the field of quality to what it was in the middle of the 20th century.[2]

[20] Grant is interred at Sunset Hills Cemetery Memorials in Bozeman, Gallatin County, Montana, USA. At the time, he was professor emeritus of economics of engineering in the department of industrial engineering at Stanford University. He was a recognized leader and pioneer in applying economic analysis to engineering problems.[19] His work on statistical quality control was an integral part of the effort to improve production in industrial plants during World War II.[19] A colleague of Grant's noted that:

By following these steps and engaging in open communication with a statistician, early and mid-career researchers can optimize their grant budget for complex statistical analysis and ensure efficient and effective utilization of funds.

QA/QCThe first QC trip wascompleted in four days by two people. The QC water level remeasures covered 14counties, included 72 wells, and were completed during the second trip (first QCtrip) (Figure 16). The QC trip was to verify out-of-trend measurements and toacquire missing well data. This QC re-visit resulted in confirmation orsuccessful measurement of 62 wells previously unmeasurable or out-of-trend. Final measurements at these 62 wells took an average of nearly two hours per welland as a group were situated along routes that required a total of about 4,160miles of vehicle travel. These 72 wells were selected after careful examinationof primary trip measurements; a well was remeasured if it met any one of thefollowing criteria:no measurement was recorded during the primary measurement trip;calculated water level was up by more than 1 ft from historical trend; orcalculated water level was down by more than 4 ft from historical trend.The QA trips were undertaken to provide data for statistical appraisal of qualitythrough repeated measurement of water levels. Six primary QA routes were designedusing wells randomly selected by computer from a list of all wells visited duringthe primary measurement trip (Figure 17). Fifty-four wells or about 10 percent ofall the wells measured during the KGS portion of the 1997 campaign were selectedfor remeasurement. The 48 wells actually measured during the first QA triprequired one person about 1.5 hours per well to acquire along routes totaling1,800 miles.Figure 16--Quality control guidelines flagged 72 wells for revisits to confirm or obtain missing measurements.


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