Sentence examples for use a multiple regression from inspiring English sources

Here we use a multiple regression framework, including phylogenetic information, to analyze brain structure evolution in 43 Tanganyikan cichlid species.

As a secondary analysis, we will use a multiple regression model to account for other predictors of outcome, including baseline STAI, and the demographic variables noted immediately above.

We use a multiple regression model guided by longitudinal weekly patterns of influenza virus to attribute the weekly ILI consultation incidence pattern to each influenza (sub type, while controlling for the effect of respiratory syncytial virus (RSV) epidemics.

The primary analysis will use a multiple regression model to test for differences among and between the study arms in VO2peak from baseline to the post intervention assessment (16 weeks).

We proposed to convert each genomic data source into a pairwise similarity profile describing functional similarity of genes and then use a multiple regression model to characterize the strength of association between a candidate gene and a query disease.

> -wrap-foot> Mann–Whitney U test N number of patients * p < 0.05; ** p < 0.01; *** p < 0.001, all vs. patients without psychiatric history Finally, an attempt was made to use a multiple regression strategy to reveal to what extent the use of coping and the presence of a psychiatric history were independently related to the different HRQoL domains (Table  6).

The model coefficients were calculated using a multiple regression technique and were validated using ANOVA with p value < 0.05.

The relationship between the ex ante criteria and the three LC indicators was analyzed using a multiple regression approach.

This study used a multiple regression analysis to analyze the effects of some socio-economic determinants on the members' ability to repay group loans.

Using a multiple regression analysis including TBSA, SAPS II and SV, only SAPS II and initial SV were independently associated with 90-day mortality (Table 3).

The responses to a questionnaire survey of 89 production and operation managers, drawn from a cross-section of Australia manufacturing companies, were analyzed using a multiple regression technique.