Results 221 to 230 of about 341,687 (247)

Correcting a Bias?

New England Journal of Medicine, 1978
Horwitz and Feinstein, in an article in this issue of the Journal, suggest that a selection bias explains the strong association between exogenous estrogens and endometrial cancer reported by many ...
G B, Hutchison, K J, Rothman
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Evidence for bias in hair testing and procedures to correct bias

Forensic Science International, 2000
A number of in vitro experiments show that different hair samples incorporate differing amounts of drugs under identical conditions. Incorporation of cocaine and morphine tends to be correlated with race, in that the hair of African American females incorporates higher concentrations of cocaine than does the hair of Caucasian males or females ...
D A, Kidwell, E H, Lee, S F, DeLauder
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Correcting (and Not Correcting) for Bias

NIR news, 2012
An idealised setup Suppose we have an NIR calibration whose prediction errors have a bias b and variance s, both of these parameters being unknown. Prediction error here means the difference between the prediction from the calibration and the corresponding reference value.
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The Flexible Correction Model: Bias Correction Guided by Naïve Theories of Bias

Social and Personality Psychology Compass, 2014
Abstract Psychological researchers have examined a broad array of biases and shortcomings of social perceivers. Less attention has been paid to how people react when they become concerned about the possibility of bias and attempt to correct or overcome the potential for bias.
Yi‐Wen Chien, Duane T. Wegener, Richard E. Petty, Chung‐Chiang Hsiao   +3 more
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Bias correction for linear discriminant analysis

Pattern Recognition Letters, 2021
Abstract Linear discriminant analysis (LDA) is perhaps one of the most fundamental statistical pattern recognition techniques. In this work, we explicitly present, for the first time, an asymptotically exact estimator of the LDA optimal intercept in terms of achieving the lowest overall risk in the classification of two multivariate Gaussian ...
Amin Zollanvari, Berdakh Abibullaev
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Bias Field Correction for MRI Images

2008
Bias field signal is a low-frequency and very smooth signal that corrupts MRI images specially those produced by old MRI (Magnetic Resonance Imaging) machines. Image processing algorithms such as segmentation, texture analysis or classification that use the graylevel values of image pixels will not produce satisfactory results. A pre-processing step is
Juntu, J., Sijbers, J., Van Dyck, D., Gielen, J.   +3 more
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The Flexible Correction Model: The Role of Naive Theories of Bias in Bias Correction

1997
Publisher Summary This chapter describes the role of naive theories of bias in bias correction in the flexible correction model. The notion of bias correction was reviewed across a variety of research domains. Corrections are often the result of people consulting their naive theories of the influence of potentially biasing factors on their perception
Duane T. Wegener, Richard E. Petty
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Bias correction for Cohen’s d

The Journal of General Psychology, 2023
Cohen's d - a common effect size - contains a positive bias. The traditional bias correction, based on strict distribution assumption, does not always work for a small study with limited data. The non-parametric bootstrapping is not limited by distribution assumption and can be used to remove the bias in Cohen's d.
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Bias-correction fuzzy clustering algorithms

Information Sciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miin-Shen Yang, Yi-Cheng Tian
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Multiplicative bias correction for discrete kernels

Statistical Methods & Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lynda Harfouche, Smail Adjabi, Nabil Zougab, Benedikt Funke   +3 more
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