A model including age, FR, vocabulary, and spatial skills accounted for 90% of the variance in future math achievement.
The model including age (coefficient = 21%, P = 0.04), male proportion (coefficient = −14%, P = 0.001) and diabetic patients' proportion (coefficient = 17%, P = 0.002) explained most of the identified heterogeneity.
A multivariate model including age, lateral E', indexed LA volume, and mitral A wave explained 46% of the variance in peak Vo2 (P =.01).Lateral E' and indexed LA volume are negatively correlated with functional capacity.
Using the Pediatric All-Condition Readmission Measure and starting with a model including age, gender, chronic conditions, and primary diagnosis, we examined whether the addition of initial vital sign and laboratory data improved model performance.
Results indicated that variables suggested by the Andersen model, including age, depression, psychological aggression, and posttraumatic stress-related arousal symptoms, were significant predictors of help-seeking.
The C-index increased from 0.73 to 0.77(p =0.0005) when adding BSI to a base model including age, PSA, cT and GS.
The C-index increased from 0.77 to 0.83 (p <0.0001) when adding BSI at follow-up to a model including age, cT and GS (at the time of diagnosis) and PSA at follow-up.
In a model including age, diabetes mellitus, hypertension, hyperlipidemia, and tobacco use, SVID of the brain was found to be the only protective factor against the development of brain metastases, with an OR of 0.31 (0.48, 0.48; p<0.001).
*compared to model including age group and injury group.
Some interactions were tested in the logistic model including age with the likelihood ratio test.
*Odds ratio obtained in a logistic regression model including age, gender, and education level.
