Sentence examples for bias were calculated using from inspiring English sources

Categorization accuracy and response bias were calculated using andand B', respectively [22].

* Collected at the discharge assessment Agreement between conventional change and patient perceived change as well between conventional change and patient perceived change adjusted for recall bias were calculated using intraclass-correlation coefficients and limits of agreement (separately for utility and VAS).

Codon Usage analysis was performed with CodonW version 1.3 http://codonw.sourceforge.net/, and codon bias was calculated using the "effective number of codons" (ENC) method [ 33].

The significance for homeolog bias was calculated using a paired, Student's T-test with log2 transformation to ensure the normality in expression values.

The bias was calculated using the following formula: [haptoglobin SRM (mg/L) - haptoglobin nephelometry (mg/L)]/[mean (mg/L) of haptoglobin SRM and haptoglobin nephelometry] × 100.

Codon usage bias was calculated using the R package seqinr (function cai) based on the D. pseudoobscura codon usage table downloaded from http://www.kazusa.or.jp/codon/cgi-bin/showcodon.cgi species=7237.jp/codon/cgi-bin/showcodon.cgi species=7237

Amino acid bias was calculated using Tree-Puzzle which uses a chi-squared test to compare the amino acid composition of each alignment row with the empirical frequencies calculated from the alignment [ 79].

All meta-analyses were performed using Review Manager 5.2 (Cochrane Collaboration) except publication bias was calculated using STATA SE 12.1 package (StataCorp, College Station, TX); other statistical tests were performed using SPSS for Windows 13.0 (IBM, Chicago, IL).

All above analyses were performed using RevMan 5.1 (Cochrane collaboration, Oxford, UK) and Publication biases were calculated using the Begg's funnel plot by STATA 11.0 (STATA Corporation, College Station, TX, USA).

Base substitution biases were calculated using the Fisher exact test to compare with a wild-type mutation spectrum derived from the literature (Lynch et al. 2008; Lang et al. 2013).

These biases are calculated using approximate inference on graphical models built to represent the paradigmatic protein design problem.