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Using the stepwise regression once again, the results are obtained in Table 2 by employing SPSS.
Selection of prognostic variables was performed with Cox's model using the stepwise regression option from BMDP software [ 26].
Joint QTL mapping for a single NAM population or the two NAM populations together was conducted by using the stepwise regression model described by Buckler et al. [ 9].
By using the stepwise regression analysis, we observed that regional cerebral glucose metabolism, in three areas of the brain that are affected early on in the disease course (medial temporal, posterior cingulate and lower parietal), significantly correlated (P < 0.05) with test scores for attention, episodic memory and FSIQ during progression of the disease (Fig. 4).
To illustrate the possible consequences of different features in essential gene prediction, we investigate the linkages between gene essentiality and gene features in the Saccharomyces cerevisiae (SCE, Table 2A) and Escherichia coli (ECO, Table 2B) genomes, using the stepwise regression model (SRM) combined with forward selection [ 39- 41].
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Comparisons of survival curves were made using the log-rank test and multivariate analyses were done using the stepwise Cox regression analysis.
Using the stepwise logistic regression model for potential variables, only stroke subtype, NIHSS score, and serum TBARS level were independently associated with three-month outcome.
The model was produced by using the stepwise multiple linear regression technique on a database that consists of 67 recently discovered 1,3,4-oxadiazole substituted naphthyridine derivatives.
Using the stepwise multivariate logistic regression, microscopic hematuria and serum IgA were the only variables statistically linked to IgAN (P < 0.0001 and P = 0.01, resp).
To decide which variables to use in the stepwise regression we first calculated the full correlation matrix (Table S1).
CYP2C9*3, instead of the imputed rs1072753, was used in the stepwise regression.
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