bias

bias

[bī′əs]

Etymology: MFr, biais

1 an oblique or a diagonal line.

2 a prejudiced or subjective attitude.

3 (in statistics) the distortion of statistical findings from the true value. There can be many kinds of bias; some may be caused by the sampling process, but bias can be caused by other factors.

4 (in electronics) a voltage applied to an electronic device, such as a vacuum tube or a transistor, to control operating limits. See also detection bias.

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bias [bi´as]

1. (in a measurement process) systematic error.

2. any influence or action at any stage of a study that systematically distorts the findings.

3. (of a statistical estimator) the difference between the expected value of the estimator and the true parameter value.

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bias,

n in statistics, the systematic distortion of a statistic caused by a particular sampling process.

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bias

any systematic error in the design, conduct or analysis of a study which results in estimates which depart from true values. An unbiased study is free from systematic error. Many types of bias have been named, but three general types can be identified, selection bias, information bias and confounding. Selection bias is a systematic error in a study caused by the individuals selected into the study being different from the entire target population in an important way. See also berkson's bias. Information bias is a systematic error in a study caused by errors in the data which are collected in the study, or in the analysis of the data.

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bias

Epidemiology Deviation of results or inferences from the truth, or processes leading to such systematic deviation; any trend in the collection, analysis, interpretation, publication, or review of data that can lead to conclusions that are systematically incorrect