Sentence examples for multilevel analyses for from inspiring English sources

The multilevel analyses for T2D as the dependent variable can be summarised in the following way (Table  3).

UHF neighborhood income and ED usage rate were not significant predictors of CA-MRSA hospitalization in multilevel analyses for males or females (Table  2).

Table 3 displays the results of the multilevel analyses for the three domains (i.e. communication with ophthalmologist, communication with nurses, and communication about medication) and for the three global ratings (of ophthalmologist, nurses and hospital).

We corrected outcome estimates of the multilevel analyses for age, sex, educational level, significant differences at baseline (frailty and disability), and the baseline status of the outcome variable (in the case of secondary outcomes) by including these variables as covariates in each model.

Path modeling and structural equation modeling will be used for multilevel analyses of environmental and individual characteristics relative to the study outcomes.

The sampling frame and research design enables multilevel analyses of neighborhood environmental predictors for self-reported and objectively measured PA and body size for Māori and non-Māori adults and children.

Estimates with their standard error and levels of significance are presented in table 3 for the linear multilevel analyses of the SDQ scores.

Multilevel analyses adjusted for age, gender, and clustering of patients in general practices were used to assess the association between multimorbidity and service utilization in 2008.

Table 5 shows the results of multilevel analyses, where, for expository convenience, the effect of each estimated coefficient on inpatient MEs was converted to the rate of change evaluated at the median of MEs.

Since 1988, the number of HIV-related consultations in average Dutch general practices increased as shown from multilevel analyses adjusting for interpractice variation attributed to population density, from 7 per 10 000 patients in 1988 to 14 per 10 000 registered patients between 1994 and 1997, declining slightly to 13 per 10 000 patients in 2009 (figure 1).

However, for the multilevel analyses, we opted for a composite score assigning equal weights to all four dimensions in the latent construct in all countries.