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For multivariate analyses related to patients' experience using MeTree©, a covariate regarding whether patients talked with relatives prior to using MeTree© was also included.
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Tables 3 and 4 show the results of univariate and multivariate analyses relating to patient prognosis.
In multivariate analyses relating baseline measures while adjusting for follow-up potential confounders (age, sex, height, heart rate, PWD use), lower E/I ratio, lower HDL cholesterol, and a history of smoking were associated with greater follow-up AIx and Ln AP) (Table 3).
All maternal factors included in multivariate analyses were related to birth outcomes in bivariate analysis.
By studying the loadings from the multivariate analyses and relating them to the scores, one can find the most important variables for separating the groups.
Nine variables were selected as outcome variables for multivariate analyses: two were related to knowledge of dengue transmission, three were related to knowledge of the disease, and four were related to preventive practices (see descriptions in Table 1).
Table 3 shows the results of univariate and multivariate analyses of factors related to patient prognosis.
Table 2 shows the univariate and multivariate analyses of factors related to patient prognosis.
Table 2 provides the univariate and multivariate analyses of factors related to patient prognosis.
Tables 2 and 3 show univariate and multivariate analyses of factors related to patient prognosis.
The univariate and multivariate analyses of factors related to patient prognosis were performed in all patients (n=138, Dukes A∼D).
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