نتایج جستجو برای: total analytical error
تعداد نتایج: 1187202 فیلتر نتایج به سال:
background and objectives: for total analytical error, imprecision (sd) and bias, performance goals for laboratory tests have most often been developed. a total analytical error goal requires that the combination of errors from all sources (random and systematic errors) be within some acceptable limit. materials and methods: fifty vials of sodium and potassium standards (sandos company) were ch...
Background and Objectives: For total analytical error, imprecision (SD) and bias, performance goals for laboratory tests have most often been developed. A total analytical error goal requires that the combination of errors from all sources (random and systematic errors) be within some acceptable limit. M...
BACKGROUND Total analytical error has been a useful metric both to assess laboratory assay quality and to set goals. It is often estimated by combining imprecision (SD) and average bias in the equation: total analytical error = bias + 1.65 x imprecision. This indirect estimation model (referred to as the simple combination model) leads to different estimates of total analytical error than that ...
Several groups have recently commented on the need for more realistic information on analytical performance of laboratory tests. The term "total analytical error" is sometimes used in this context. However, differing opinions have been expressed on how best to obtain estimates of clinical assay error, as it would be perceived by clinicians. We suggest a pragmatic definition of total analytical ...
BACKGROUND Patients and physicians expect accurate whole blood glucose monitoring even when patients are anemic, are undergoing peritoneal dialysis, or have slightly elevated ascorbate levels. The objective of this study was to estimate analytical error in two consumer and two hospital glucose meters contributed by variations in hematocrit, maltose, ascorbate, and imprecision. METHODS The inf...
The performance measure traditionally used in the quality-control (QC) planning process is the probability of rejecting an analytical run when an out-of-control error condition exists. A shortcoming of this performance measure is that it doesn't allow comparison of QC strategies that define analytical runs differently. Accommodating different analytical run definitions is straightforward if QC ...
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