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θ is the multivariate linear selection.
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A forward selection multivariate linear regression model was constructed to evaluate the independence of salbutamol (high or low dose) against days alive and free of ALI.
Blows, Brooks and Kraft [ 33] showed that in this population of guppies, the multivariate linear and nonlinear sexual selection fitness surface has at least three local fitness peaks corresponding roughly with large areas of orange colouration, of iridescence, and large tails.
Multivariate linear regression models with stepwise selection were used to identify factors having an independent statistically significant effect on the impact of bronchiolitis hospitalization on parents.
Multivariate linear models and step-wise model selection were used to determine the fraction of variance in OATP expression explained by non-genetic, genetic, and transcription covariates.
In a second step, a univariate and multivariate linear regression (using a stepwise, backward selection technique) were performed in HIV-positive group only to identify influential factors for AD.
The final backward multivariate linear regression models for the relationship between selection factors and demographic characteristics with academic performance throughout the course are outlined in Table 5.
The statistically significant covariates were then included in a multivariate linear regression model and a stepwise backward selection procedure was used to determine which covariates contributed to the variation of uric acid independently of the others.
Multivariate linear regression, random forest, and a stepwise selection of linear regression methods were applied: metabolites were chosen if they both were significant in linear regression for every single metabolite, adjusting for BMI and also for the top 30 most important variables in random forest method, in which both the 131 metabolites and BMI were severed as variables.
For creating multivariate linear QTL models, NEO also implements forward-stepwise marker selection.
We used multivariate linear as well as logistic regression analysis with forward selection procedure to determine the predictors of LOS.
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