Sentence examples for multivariate model predicting from inspiring English sources
This study tested a multivariate model predicting young children's internalizing behaviors from parenting practices, parents' anxiety depression and family stressors.
Our multivariate model predicting use of antipsychotic drugs and concomitant mood stabilizers identified the diagnosis of schizoaffective schizophrenia, history of having hurt someone and high scores on the General Psychopathology subscale of the PANSS (which includes items such as "uncooperativeness," "lack of judgment and insight," "poor impulse control,") as predictors.
In our multivariate model predicting participation, similar associations as in the bivariate analysis could be observed.
The multivariate model predicting syphilis among female clinic patients (n=626) included unmarried, higher education and not living in Site D (table 4).
To build a multivariate model predicting axillary LN involvement, a logistic regression with backward procedure including intra- and peritumoural 'vascular' invasion, LVI and BVI was performed.
The multivariate model predicting syphilis among male clinic patients (n=1163) included higher education, not living in Site D and ever engaging in commercial sex (table 3).
The multivariate model predicted poor outcome with an AUC of 0.80 (95% CI 0.72 to 0.88, p<0.001; figure 1).
IVC size incorporated in a multivariate model predicted better RVD than as a single parameter or ratio measured on CTA [ 45].
Multivariate models predicting energy-adjusted intake indicated strong associations with age, ethnicity, income, day care/school attendance, Supplemental Program for Women, Infants, and Children (WIC) participation, region of residence, and female head of household's educational level.
Logistic regression modelling showed that all of these factors were highly significant in both the univariate and multivariate models predicting the planned use of adjuvant RT.
Variables that correlated at p ≤ 0.10 with physical or mental function were used in the two multivariate models predicting physical and mental function, respectively.
