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Using self-referred participants for preintervention and postintervention may introduce sampling biases.
Our use of volunteers from a study-established sampling frame may introduce sampling bias, which would limit the generalizability of these results even to our target population.
As this may introduce sampling biases in downstream comparisons, contigs and high quality reads were normalized in silico using CD-HIT-EST [ 111] to remove redundant reads and contigs to generate a set of unigenes.
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Large-scale manual phosphopeptide enrichment suffers from limited throughput and may inadvertently introduce sample-to-sample enrichment bias.
Since the number of clades sampled in each gene families varies considerably, simply using this total dataset to conduct statistic analysis may introduce latent sampling bias.
However, overpartitioning may introduce unnecessary sampling variances which could influence the phylogenetic estimates.
However, it is a destructive method, and thus cutting and polishing the sample may introduce new damage to the sample, which adds errors to the measurement results.
Some groups prefer plasma over serum because the clotting process in serum preparation may introduce inconsistencies and significant sample-to-sample variation [ 2].
However, sampling from a larger number of subpopulations may introduce larger costs connected with sampling of fish from more locations.
In such cases, applying importance sampling may introduce bias.
However, transitory developmental stages, by their very nature, change constantly which may introduce biases when the sampling is not balanced.
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