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In the case of Ser2, controlling for error leads to a change in the codon identified as being favored by natural selection.
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Ribosomal protein L32 (rp49) was used as the reference gene to control for error between samples.
Bonferroni adjustments were made for multiple univariate comparisons on the same measure (SF-36, KOOS, accelerometry) to control for error.
We used pairwise Wilcoxon rank sum tests for post hoc evaluation and Holm's sequential adjustment of p-values to control for error rates.
The entire dataset was collected by the same person (DPD) to control for error arising from inter-individual measurements (e.g., [ 57]).
To control for errors introduced from cross-hybridization, only genes with unique probes sets were utilized for the analysis.
We attempted to control for errors in sample handling within experiments by the addition of an internal standard as a routine part of liquid/liquid extractions.
This difference could result from variability in mutation rates between different viral genomic regions, or possibly from an unidentified class of 454 pyrosequencing error in the V3 region sequences (we took careful measures to account and control for errors, however, as described in the methods).
Univariate permutation tests were repeated 1,000 2,000 times to control for errors.
The resulting PCR data were controlled for errors, which were removed prior to detector-centric analysis.
Data from the completed questionnaire were anonymized and controlled for errors, inconsistencies and internal missing data.
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