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A multilevel statistical model was built to quantify if there was a significant difference in: a) extent of silver lost, b) initial amount of silver lost, c) silver lost for water of different quality, and d) total coliform removal.
Data were analyzed using a multilevel statistical model.
The results of the multilevel statistical model are presented in Table 2.
To determine whether treatments had an effect on the rate of change in the level of HbA1c over time, we used a multilevel statistical model that included time as a continuous variable, measured in days, where 0 = baseline.
To alleviate the errors caused by multistage cluster sampling, the multilevel statistical model (e.g., the two-level random intercept model) was applied to identify the independent variables of the family caregiver burden between the household and the community level [ 24].
Our findings are more robust than those presented in our earlier, preliminary analysis of ethnic disparities in diabetes care as we have used longitudinal data with five measurement points, adjusted for duration of disease, and included family practice level variables within a multilevel statistical model (21).
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Multilevel statistical models were used to generate absolute growth curves.
Analyses were carried out using multilevel statistical models to allow for the clustering of observations within patients.
The purpose of this paper is to explain the analytic methods used in the study, particularly multilevel statistical models.
This association holds after controlling for individual-level determinants of trust in elections and for other relevant country-level predictors in multilevel statistical models.
The multilevel statistical models of forage purchasing behaviors show that the strategies of livestock management, household financial capital, environmental (i.e., precipitation and vegetation growth) variability, and the status of pasture degradation were the major determinants of this adaptation strategy.
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