Sentence examples for multiple factor model from inspiring English sources

In each Model, physical and biochemical traits including age, gender, eGFR, urinary protein, systolic blood pressure, diastolic blood pressure and hyperuricemia were analyzed by single factor analysis first, and significant factors were put into multiple factor model.

In each Model, physical and biochemical traits including age, gender, BMI, baseline-eGFR, baseline UP, SBP, DBP, drug therapy and hyperuricemia status were analyzed by single factor analysis first, and factors that were significant were then put into multiple factor model.

The maps and model rules resulting from the multiple factor models were interpreted to be more precise depictions of a particular species habitat when compared with the models that used vegetation type only.

All models only employ a single moderator variable, as study designs were too diverse to get full models without empty cells in case of multiple factor models.

Precedent for this ensemble model can be found in the multiple factors model of acid signaling in central chemosensitive neurons where multiple ion channels are targets of multiple acidic stimuli [22].

Relative to the traditional molecular biology methods that had been used to study the role of a single gene, single protein, or single small-molecule model, those "-omic" data have driven the rapid development of systems biology to study a multiple-factor model of disease and to address the network of interaction and regulatory events that contribute to a disease.

Exploratory factor analysis yielded a multiple-factor model that was largely in keeping with the hypothesized structure consisting of the social and non-social components of behavioral inhibition, and a CFA demonstrated reasonable fit for a six correlated factors model in the total sample as well as in the three age groups separately.

To allow for the differences that could arise from changing SOP, the multiple factor mixed model to fit the compiled data from several sub-studies, allows the intercept and the slope to change from one sub-study to the next.

The paradigm shift that occurred as researchers and practitioners moved from a single agent model of causality to a multiple risk factor model in which independent causes may work synergistically to contribute to disease states is beyond the scope of this paper.

Our decisions about which risk factors to investigate were guided by an ecological multiple risk/protective factor model that has been proposed for conceptualizing risk factors related to depressive symptoms [31].

Kaplan Meier survival analysis, log-rank statistics, and Cox regression analysis were employed to identify risk factors and to create a multiple risk factor model.