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On Biased Measures and Typical Values
Taylor & Francis Online: Peer-reviewed Journals
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Taylor & Francis Online: Peer-reviewed Journals
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由 M Ming 著作1996 — We consider a linguistic expression which reflects on our method of evaluating the significance of each data segment. A biased measure based on this expression ...
What do you measure when you measure bias?
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2019年5月27日 — Bias is evaluated at different concentration levels using regression analysis. In most cases, Passing-Pablok regression model (which is the ...
Bias of an estimator
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In statistics, the bias of an estimator (or bias function) is the difference between this estimator's expected value and the true value of the parameter ...
On the Bias of Commonly Used Measures of Association ...
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由 NP Jewell 著作1986被引用 74 次 — The odds ratio and the relative risk are commonly used as measures of association in a fourfold table. The bias of the standard point estimators of these ...
What is a gage linearity and bias study? - Support - Minitab
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A gage linearity and bias study determines whether your gage is measuring accurately. The study assesses linearity (how accurate your measurements are)
Bias in Laboratory Medicine: The Dark Side of the Moon
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 A Coskun 著作2024被引用 16 次 — Bias is the systematic deviation of laboratory test results from the actual value, which can cause misdiagnosis or misestimation of disease prognosis and ...
Chapter 4. Measurement error and bias
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Errors in measuring exposure or disease can be an important source of bias in epidemiological studies.
Sources of Error in Measurement in Research Methodology
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2022年12月10日 — Two common types of measurement errors are bias and precision errors and they can significantly affect data accuracy.
What about Bias?
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For some analytes, there is a gold standard (or reference) method or material. There is, in other words, a "true" value that should be achieved by all methods.
ACCURACY, BIAS, PRECISION AND CONFIDENCE LIMITS
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The difference between our average and the “true” value is sometimes called the bias of the measurement. It is a systematic effect and gives an indication of ...
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