Statistics notes: Measurement error
Year: 1996
Type: article
Abstract: Several measurements of the same quantity on the same subject will not in general be the same. This may be because of natural variation in the subject, variation in the measurement process, or both. For example, table 1 shows four measurements of lung function in each of 20 schoolchildren (taken from a larger study1). The first child shows typical variation, having peak expiratory flow rates of 190, 220, 200, and 200 l/min.
View this table:
Table 1
Repeated peak expiratory flow rate (PEFR) measurements for 20 schoolchildren
Let us suppose that the child has a “true” average value over all possible measurements, which is what we really want to know when we make a measurement. Repeated measurements on the same subject will vary around the true value because of measurement error. The standard deviation of repeated measurements on the same subject …
Source: BMJ
Authors: J Martin Bland, Douglas G Altman
Institutions: St George's Hospital, St George's, University of London
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2006903374