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The aim of most studies in EEG detection has been to detect patient-specific focal seizures, rather than predicting general seizures across a much bigger population.
One of the goals of using the Global Positioning System (GPS) and other geodetic survey techniques in tectonics has been to detect boundaries such as faults or shear zones between rigid or mildly deforming crustal masses.
The general strategy for segmentation has been to detect a distinct seed per nucleus [e.g. LoG, radial centroid transform, (IV)] that is followed through geometric partitioning.
To date, however, the main focus of studies employing proteomics has been to detect biological markers for early diagnosis of disease.
Another major use of the breath measurements has been to detect unmeasured pathways of exposure; the major impact of active smoking on exposure to benzene and styrene was detected in this way.
If the study objective had been to detect a difference of effectiveness (mortality), then we estimate from the PROWESS results that 600 patients per phase would have been required.
The problem of variable selection is well studied in statistics generally [Miller, 1984] but has perhaps been neglected in statistical genetics, where the aim has been to detect convincing association to a region, rather than pinpoint the causal variant, particularly as most datasets to date have included an incomplete selection of variants in any region.
Traditionally, the primary aim of follow-up has been to detect acute problems related to treatment and cancer recurrence, but increasing survival rates have led to a greater understanding of the long-term physical and psychological effects that survivors may experience years after treatment (Stein et al, 2008).
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