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The general form of multivariate trend analysis is given as [5, 41].
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All statistically significant (P < 0.1) univariate predictors of TDRM were considered as possible confounding factors in the multivariate time trend analysis.
Linear regression was used for trend analysis and multivariate logistic regression was used to examine factors associated with seizure visit, neuroimaging and hospital admission.
However the multivariate analysis, including a time trend analysis, indicated important findings.
Do trend analysis.
This study uses three complementary methods: trends analysis, decomposition and longitudinal multivariate models (fixed effect regression models).
In this analysis we attempted to build upon these studies by showing that the choice of geographic resolution significantly affects both the significance and trend of multivariate statistical analysis of underlying demographics.
However, after controlling for secular trends in multivariate analysis, the intervention's effectiveness disappeared.
While the dearth of comparable data in this study is a likely factor in not uncovering clear trends, standard multivariate ordination analysis was also complicated by the fact that few species were shared among widely separated regions on a global scale, creating a special case scenario requiring further manipulations, each with certain compromises (see methods).
Multivariate regression analysis showed a trend toward adverse effects of propofol on PTSD symptom development at 6 months after MVA (β = 4.08, 95% CI: -0.49 to 8.64, P = 0.080), but not at 1 month after MVA (β = -0.42, 95% CI: -6.34 to 5.51, P = 0.890).
Multivariate analysis of the trend showed that women's support for patterns of wife-beating decreased significantly in Nigeria between 2003 and 2013.
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