Results 261 to 270 of about 1,818,251 (309)

Comparing Alternative Corrections for Bias in the Bias-Corrected Bootstrap Test of Mediation

Evaluation & the Health Professions, 2021
Although the bias-corrected (BC) bootstrap is an often-recommended method for testing mediation due to its higher statistical power relative to other tests, it has also been found to have elevated Type I error rates with small sample sizes.
Donna Chen, Matthew S. Fritz
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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 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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Correcting for Recency Bias in Job Recommendation

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Users are known to interact more with fresh content in certain temporally associated domains such as news search or job seeking, leading to an uneven distribution of interactions over items of different degrees of freshness. Data collected under such an "aging effect'' is usually used unconditionally on all sort of recommendation tasks, and as a result
Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft   +3 more
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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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