Exact(1)
As retinal vessels in color fundus images are thin and elongated structures, standard pairwise based random fields, which always suffer the "shrinking bias" problem, are not competent for such segmentation task.
Similar(58)
Mr. Romney and Mr. Ryan, he added, are "counting on a mainstream press, fearful of being charged with partisan bias, of shrinking from their responsibility to report the truth".
The bias shrinks as the number of studies K grows, but since K is often small in published meta-analyses, the bias of I is often large in practice.
For c > 1, H t)(and ) is monotone increasing in t, so we can reduce the bias in by shrinking P c toward zero before applying the prevalence transformation.
Moreover, the regularization problem ((QP_{1}^{lambda})) always leads to a biased estimation by shrinking all the components of the vector toward zero simultaneously, and sometimes results in over-penalization in the regularization model ((QP_{1}^{lambda})) as the (ell_{1} -norm in linear compressed sensing.
In addition, we hypothesise that the effect on reducing smoking prevalence in the intervention group would have been larger in a randomised experimental setting as we found two biases both potentially shrinking the effect of the intervention (see below).
By shrinking the estimate, although this introduces bias, the estimation error can be decreased.
Endocranial measurements are also not biased by histological techniques (shrinking, freezing, desiccation) that can cause variation in the measurement of fresh brains.
Lawmakers and advocates have been pushing for changes, part of a broader effort aimed at shrinking prison and jail costs and reversing racially biased sentencing practices.
The evaluation of the quality of reporting can be compromised when RCTs lack methodological rigour, thus generating biased results possibly resulting in exaggeration or shrinking of treatment effects [ 1, 7- 14].
Finally, perceptions of bias have likely contributed to the major networks' shrinking audience.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com