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A central composite design was used and mathematical models are developed by multiple regression test.
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The multiple regression test provided a significant result.
A multiple regression test was also used.
Data were analyzed by independent t-student's, chi-square, Pearson correlation, and stepwise multiple regression tests.
Finally, we tested by multiple regression analysis whether response to winter temperature differed between the two major haplogroups HG7 and HG16 in Asia (Table 4).
Genetic association of FC and HbF traits with HMIP-2 marker alleles was tested by multiple regression (SPSS v.12) including covariates age, sex, and additive effects of the beta globin gene locus (i.e., the XmnI Gγ polymorphism).
The association between statin use and intraoperative insulin sensitivity was tested by multiple regression analysis.
Fiber tract volumes in 16 tracts of interest were tested by multiple regression analyses in R using the PING data portal (https://mmil-dataportal.ucsd.edu).edu
We tested these hypotheses by multiple regression analyses in the form of partial correlations, controlling for the covariates of age, gender, hypertension, baseline volume and ICV.
Gene expressions selected at the screening step were then jointly tested in the validation sample for association with the risk factor by multiple regression analysis.
We tested the relation between number of diagnostic examinations and other variables in each period by multiple regression analysis.
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