Sentence examples for use a multiple linear from inspiring English sources

In addition to the main analysis, that will report treatment group effects for the primary outcome measure, a subsidiary analysis will use a multiple linear regression model to investigate the relationship between each patient's EQ-5D score at 12 months and the treatment arm, age, gender and dementia for each patient.

In addition to the main analysis, that will report treatment group effects for the primary outcome measure, a subsidiary analysis will use a multiple linear regression model to investigate the relationship between each patient's EQ-5D Score at 12 months and the treatment arm, age, gender, dementia and fracture displacement for each patient.

To analyze effects of TSC-40, BDI-II, TAS-20 and SAS on SDQ-20, we have used a multiple linear regression that may be useful to know whether stress-related psychopathological symptoms in their specific interactions are proportionally linked to increased levels of SDQ-20.

To distinguish the effect of ACQ and PTI on LSCL-33, we have used a multiple linear regression because it may be useful to know whether alcohol craving and PTI in their specific interactions are linked to increased levels of LSCL-33 and whether ACQ and PTI are tightly linked together.

While using a multiple linear regression model in this setup is conceptually appealing, use of visualizations may suggest the need for greater flexibility in the model.

To analyze factors associated with misdiagnosis a multivariate analysis was made using a multiple linear regression with diagnostic category as the dependent variable.

To combine unigrams and bigrams in a single variable, we used a multiple linear regression model and for this variable, the index was 78.93 %.

We compared managed (i.e., DWM) and free draining records using paired t-tests, and identified factors associated with DWM effectiveness using a multiple linear regression approach.

Average annual yields of the annual reference crops were modelled using a multiple linear regression approach which is based on yield levels from field experiments of 52 sites located in Lower Saxony [58].

To rigorously determine if nucleotide variation rates for both the LTR and NRR flanking sequences were associated (and to which extent) with their positions along the Chr3S and G+C content, we used a multiple linear regression model.

A design of experiments (DOE) based on the Doehlert matrix was used to determine the optimum conditions of the method, and the influence of the variables was evaluated using a multiple linear regression (MLR) model.