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Publication bias was adjusted using the trim-and-fill procedure.
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All the network weights and bias are adjusted using batch training with the resilient back-propagation (RPROP) algorithm[21], so as to reduce the minimum-cross-entropy error between network output and the target values.
All the network weights and bias are adjusted using batch training with an RPROP algorithm[21] so as to minimize the minimum-cross-entropy error between the network output and the target values.
The map on the left shows the original samples submitted to eBird and the map on the right shows the distribution after it was adjusted using a model developed by Cornell researchers to reduce location bias in citizen science projects.
The model was adjusted using backwards elimination.
If the pilot phase of the study highlights little or no follow-up after last screen, lead-time bias will be adjusted using the "postponement of screen-detected cases" method (described in the Bias & Effect modification section).
To minimize potential selection bias, patient background characteristics were adjusted using propensity score and/or multivariable regression techniques [ 9, 13, 15, 17].
In particular, the CRE bias and the transmit power allocation of each cell are adjusted using reinforcement learning.
Initial random group assignments were adjusted using baseline magazine training performance to control for a response bias.
Survey locations were adjusted using public data.
Significance levels were adjusted using FDR corrections.
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