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To test whether the genomic overrepresentation of DUES nucleotides reflects the efficiency of their uptake, I tested the dependence of the uptake of these 28 DNA fragments on the strength of their 29 bp sequences by regression analyses using Statistica version 5.1.
Primer efficiency was calculated by regression analyses using the Eppendorf Mastercycler Software and all efficiencies were between 0.85 1.07.
The impact of the curve shape in early pregnancy on glucose intolerance later in pregnancy, i.e. the 2-h value at gestational weeks 30 32, was assessed by regression analyses, using the FPC scores at gestational weeks 14 16 as explanatory variables.
Current wheeze: Wheeze or asthma in past 12 months Current asthma: Wheeze or asthma in past 12 months + BHR Chronic bronchitis: Daily morning phlegm or cough for 3 months in the past 12 months By regression analyses using the statistical package SAS 6.11, we assessed relationships between occupational exposure and respiratory health.
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The predictors of delirium recognition by patients, nurses and in case notes were similarly explored by logistic regression analyses using age, gender, pre-existing cognitive state, medical specialty and delirium symptoms measured on the DRS-R98 as possible predictor variables.
Missing values of post-test non-responders were imputated by multiple regression analyses using available baseline data, demographics as well as data on baseline severity, from all participants.
The effects of Mn concentrations on semen quality were examined by logistic regression analyses, using the 40 59% Mn concentration group as the reference group (Table 6).
Predictors for the RF-CSS risk index were chosen by Cox regression analyses using P<0.1 as the cutoff value (Table 2).
The association of alleles of outlier loci with ecogeographical factors was assayed by linear regression analyses, using the SPSS package version 17.0.0 from SPSS (Chicago, IL, USA).
The relationship between metabolic syndrome and vascular lesions and brain atrophy was determined by multivariate regression analyses using model 1 covariates.
We determined the amount of target gene in experimental samples by linear regression analyses using a standard curve generated for each target gene.
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