Sentence examples for need for correcting from inspiring English sources

Exact(5)

For example, for gene-based studies such as this study focusing on the CHRNA5/A3/B4 cluster, Neale and Sham [59] have emphasized the importance of replication rather than the sole interest of detecting association signals with very low P values, and the authors have challenged the need for correcting for multiple testing in this specific scenario.

Accordingly, there is a need for correcting the IOP values using CCT in order to accurately determine IOP by means of the established formulas for correcting IOP values [ 4, 5].

As the standard 1D equation (eq 2) works well unless the DBL and lateral diffusion effects do not balance each other, the need for correcting for lateral diffusion has been recognized relatively late.

This reveals need for correcting also the present standards.

We thank Dr. Jennifer Fostel (NIEHS, RTP, NC) for performing cluster analysis on the dataset that elucidated the need for correcting for the effect of "pool" in the statistical model.

Similar(55)

It is clear there is a need for corrected formulations, which will be presented here.

As SAD increases, higher amount of the parity bits are needed for correcting the lost packets.

It is also worth underlining that when multipath channel, FTD and CFO concur in a communication link, the low-complexity subband equalizer can compensate for the three distortions at the desired frequency locations by combining (multiplying) the target frequency responses needed for correcting each of the estimated distortions.

5' and 3' RACE experiments were needed for correcting N- and C-terminal annotation errors.

Later components are only needed for correcting the predictions made by the first component for all the variation in the X matrix that is not correlated to the response, but still affects the prediction (Trygg, 2002).

Although automated detection can provide reasonably accurate results, proof-editing is needed for correcting detection errors in order to avoid drawing misleading conclusions, as can occur in some other bioimage analysis tasks (Peng et al., 2011).

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