Sentence examples for stepwise option from inspiring English sources

The model was developed with SPSS 15.0 using the Stepwise option from the Linear Regression menu.

We also performed the analyses using the automated stepwise option with essentially similar results (data not shown).

It was computed with the STEPWISE option of REG procedure in SAS [ 31]. 2) a Scheffe's multiple comparison analysis for orthogonal linear contrasts [ 44] in order to test the effect of presence versus absence of each not rare haplotype (i.e. more than 10 plants holding the haplotype).

e j denotes the residual error following a normal distribution: y i = b 0 + ∑ k = 1 m b k x i k + e i Contributions of the target bins to phenotypic variation were estimated using a multiple linear regression analysis with the stepwise option in the REG procedure of the SAS software package (SAS Institute Inc. 2000).

We used manual-stepwise logistic regression instead of stepwise options in logistical modeling because we wanted to force age and sex into the model, as many of the investigated variables are strongly correlated with age and sex, and in the stepwise option in logistical modeling, age was dropped out of the model, although it is significant in the final model of manual-stepwise logistic regression.

However, when employing the stepwise selection option, homes built after 1977 had a higher detection frequency of serum BDE-209 (p = 0.046).

Selection of prognostic variables was performed with Cox's model using the stepwise regression option from BMDP software [ 26].

When a global ML was used on 12 taxa, we used PAML and set up the stepwise addition option on this software.

The following options were employed for MP analyses in PAUP: heuristic search, characters unordered with equal weight, starting tree obtained via stepwise addition option and constructed with random sequence addition (10 replicates), branch swapping by TBR (tree bisection reconnection).

Multiple regression analyses were performed with the forward stepwise regression option to integrate in the model the independent variables as a function of their importance (i.e. their degree of relatedness with the dependent variable).

Subsequently, using the stepwise variable selection option (with the same inclusion and exclusion P values of 0.05) for the multivariate Cox proportional-hazards regression model, we identified three genes, CD10, CD21 and IL2RB, as predictors (Table 3).