measurement bias

measurement bias

Decision making
A systematic measurement error that skews all data; for example, an improperly calibrated sphygmomanometer produces biased blood pressure readings.
 
EBM
A systematic error that occurs when, because of the lack of blinding or related reasons such as diagnostic suspicion, the measurement methods (instrument, or observer of instrument) are consistently different between the groups in a study.
References in periodicals archive ?
The researchers found that the models could predict blood pressure with a measurement bias of 0.39 [+ or -] 7.30 mm Hg, −0.20 [+ or -] 6.00 mm Hg, and 0.52 [+ or -] 6.42 mm Hg for systolic pressure, diastolic pressure, and pulse pressure, respectively.
NGS also requires a complex and multistep preparation procedure with a variety of potential adaptations which can all result in measurement bias. NGS experiments are also expensive which can limit experimental replication.
Measurement bias is most recognizable as a faulty measurement outcome from a faulty machine or device such as a computer or piece of electronic equipment.
Real estate prices in Dubai have fallen, even if we correct for the measurement bias inherent in indices.
The sensing elements in Al2O3 probes and QCMs cannot distinguish between H2O and entrained contaminants resulting in an unavoidable positive measurement bias which complicates detection of H2O breakthrough in molecular sieve drying systems.
A scatter plot was generated from patient samples, and 95% prediction intervals were calculated to evaluate the commutability of the processed materials and measurement bias at three concentration levels was used to determine the accuracy of routine assays.
All measurements were manually recorded by the primary researcher while the co-researcher was blind to all measurements, thus there was a possibility of measurement bias by one researcher.
Yes, 235 ways scientists can fool themselves, with sober names such as confounding, selection bias, recall bias, reporting bias, ascertainment bias, sex bias, cognitive bias, measurement bias, verification bias, publication bias, observer bias, and on and on.
There are limitations to the study including potential for selection and measurement bias, so the results should be interpreted with this in mind.
No attempt is made to assign the causes of the bias to the elements of measurer bias or measurement bias. Measurer bias results when the measurer misapplies the measurement methodology.
A single researcher performed the scoring, with consensus sought only in cases of ambiguity; this potentially introduces measurement bias but eliminates the possibility of inter-observer error.
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