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Several multivariate models are developed to examine the significance of spatial factors in explaining life satisfaction.
Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.
Age-stratified multivariate models are presented for month of visit.
Results of univariate and multivariate models are presented in Table 6.
Multivariate models are presented to show the linkage between psychological distress, drug use, and suicidality in this sample of border youth.
That these multivariate models are not entirely perfect becomes evident when, for example, winter precipitation and late maize are considered for 2001 to 2099.
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Multivariate models were adjusted for BMI and education.
Other risk factors for resorption in multivariate models were the use of external ventricular drains and lumbar shunts.
Final multivariate models were adjusted for age.
Multivariate models were built using backstep stepwise techniques.
Both univariate and multivariate models were developed to determine predictors of patient LOS.
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