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Bivariate analyses were conducted to identify significant associations among variables.
Bivariate analyses were conducted to examine associations between each potential correlate and psychiatric well-being.
Bivariate analyses were conducted to assess the relationship between patient factors and the development of hospital complications using the χ 2 and t test, as appropriate.
Chi-square statistical tests and separate bivariate analyses were conducted by using the Spearman rank correlation to describe the relationship between the prevalence of oral lesions and ART.
To explore any need to model genetic parameters separately for H at different ages, a series of bivariate analyses were conducted for scores of 1, 2 and 3 year old dogs.
Bivariate analyses were conducted and the Pearson correlation coefficient was used to express the sign and strength of the relationship between species richness and elevation or area, and between species density and area.
Pairwise bivariate analyses were conducted using 1) the raw scores and 2) loge(score+1) transformation of each of the aggregate groups (SCORE4 9 and SCORE1 3), as described previously.
Subsequently, thirty six (
Bivariate analyses were conducted to make the comparisons.
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In order to explore the role of respondent characteristics and explanatory factors, bivariate analyses are conducted for both active and attitudinal1 acceptability.
Bivariate GWAS analyses were performed using SAS SAS Institute Inc.., Cary, NC), where bivariate regression analyses were conducted to detect association between a SNP and two phenotypes.
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