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Shifts
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Shifts
A shift, on the other hand, describes a sudden change in the data mean that persists throughout further days of testing.
Shifts can be caused by any one of a number of reasons, including persistent instrument malfunction, loss of calibration, or improper reagents.
Shifts are often easier to recognize than trends, as the data may be more clearly suspect.
Again, shifts must be corrected as soon as possible, as patient data are most likely already invalid.
In the example to the right, the large jump on day 8 followed by persistently high control values means that a shift has occurred.
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