Recognition of biases and other artifacts by individual labs and organizations, such as the MicroArray Quality Control (MAQC) consortium, has led to the development of quality control standards that operate to ensure the utility of a well performed microarray experiment [ 16].
I do think that recognition of hindsight bias can change the way we respond to failure.
A recognition of this bias in judgment prompts the question, how much if at all we ought to care about equal opportunity norms for their own sakes, when their greater fulfillment comes at the cost of lesser fulfillment of other values.
Given the widespread recognition of allelic bias in RNA-Seq data, the approach outlined here is one of many possibilities for alleviating this artifact [ 14, 26, 27, 32, 33], but one particularly relevant for those utilizing LifeScope software to map and analyze reads generated by SOLiD sequencing.
The recognition of human biases can be trained to improve human-machine-interfaces and sustainability.
Recognition and correction of bias due to survey non-response changed the factors that we concluded were associated with HRQL seven months following hospital admission for ACS as well as the magnitude of some associations.
Victoria's recognition of the male bias on campaigns was sparked by the question of how the women would urinate.
Recognition of the systematic bias in the eigenvalues of estimates of covariance matrices has led to the development of various estimators, which modify the eigenvalues whilst retaining the corresponding eigenvectors.
Recognition of these potential biases can help improve study design and interpretation.
However, to use these data requires recognition of their many biases, uncertainties, and incompleteness, as well as other more minor inaccuracies (see Hittelman et al., 2001).
