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We then performed a stepwise multiple regression analysis to determine which subtypes of self-determined motivation were significant predictors for L2 listening proficiency, and should thus be included in the measurement model as latent variables.
We used multiple regression analysis to determine predictors of food neophobia and pickiness in the girls.
Using multiple regression analysis to determine how closely related winning percentage was to fan attendance, we controlled for the fluctuation of ticket prices and the boost in attendance as the result of having a new stadium, based on league-wide trends for teams that built new ball parks between 1991 and 2007.
Forward stepwise multiple regression analysis to determine the effect of Primary Care Trust characteristics on performance.
We conducted a multiple regression analysis to determine whether creatinine clearance, BMI, age, or organ-failure scores had any influence on the levels of anti-factor Xa.
Data for 21 prognostic factors from 258 patients have been subjected to multiple regression analysis to determine the independent effect and thus the relative importance of each factor.
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We secondly performed multivariate regression analysis and stepwise multiple linear regression analysis to determine independent relationships to the PON1 activity or MBF, including all variables with significant correlations on univariate analysis.
We used multiple logistic regression analysis to determine the association between serum TAC levels and 30-day mortality, controlling for GCS and age.
We used multiple logistic regression analysis to determine odds ratios and 95% confidence intervals.
In addition, we used multiple linear regression analysis to determine independent predictors, after adjusting for age, sex, and BW.
In diabetes mellitus, several reports have used multiple logistic regression analysis to determine treatment efficacy outcomes [ 25– 27].
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