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To investigate whether individual group B haplotype genes showed effects on the CD4+ T cell count beyond that of the Bx genotype, we analyzed them together by multivariate linear regression (Table 2a).
The variable coding in multiple linear regression (Table 4).
Several factors were included in our parsimonious model after stepwise linear regression (Table 3).
The impact of sex, age, antibiotic use and number of viruses detected were assessed using linear regression (Table 2).
Patients from ethnic minorities had an average pain score of 12.4 compared to 10.9 (p = 0.034) for those of white British ethnicity in simple linear regression (Table 3).
Using multiple linear regression (Table S1), an average EE of 0.034 ± 0.0027 W/mouse was attributable to activity or 10.1% ± 0.8% of total EE.
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Finally, variables that were associated with the outcome (p<0.1) were included in multiple linear regressions (Table 5).
Apparent activation energy (Eact,app) values were calculated from the linear regressions (Table 1).
We present MSH correlations to sex, age and demographics in two models with multiple linear regressions (table 4) indicating that the MST can be a useful tool for lifestyle interventions.
Simple linear regressions (Table 4) showed that women on average scored one point less on health knowledge than men (p < 0.001), with an overall mean of 5.60 (SD = 0.14) and 6.58 (SD = 0.14) respectively.
When using complete sequences, the slopes of the linear regressions (Table 3) indicated that 4 partitions in particular appeared saturated (S < 0.13): first and third codon positions of cyt b, loops in 12S rRNA and third codon positions of vWF.
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