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Multivariate analysis explained five components that accounted for 98.15% of the overall hydrogeochemistry and affected by anthropogenic and geogenic impacts.
Multivariate analysis explained 39.9% of the variance in species number, revealing stream width as the most important factor (25.3%), followed by risk of runoff (9.7%).
Although the predictors included in the multivariate analysis explained a considerable amount of variance, other factors not measured in this study may have an impact on fathers' PTSS.
We assessed whether the type of SDB measurement (questionnaire or polysomnography), the type of study (case-control or cohort), and BMI used as a confounder or effect modifier in multivariate analysis explained the variability across studies.
We adjusted for several important cardiovascular and rheumatological factors known to be independently associated with arterial function and our multivariate analysis explained a high proportion of the variability in arterial dysfunction among chronic ns-NSAID users.
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From Table 4 > -wrap-foot>, presenting the multivariate analysis explaining Patients' actual treatment choices, it appears that only 'baseline preference for chemotherapy' and 'a deferring decision style' explain the eventual treatment choice.
The first component (PC1) in the multivariate principal component analysis explained 86% of the total variance in structure volume, the second component (PC2) explained 7% of the variance, or about 50% of the variance not explained by brain size.
Longer duration (-0.01, -0.02 to 0, p = 0.006) and lower baseline FIQ (0.56, 0.36 to 0.77, p < 0.000) remained significantly associated with lower six-week FIQ on multivariate analysis, which explained 38.6% of the total variance.
Due to some problems with the data and the econometric methods already pointed out, Beck et al. (2009) only introduced a reduced group of variables in their multivariate analysis to explain inflation (for all the countries of their study): unemployment rate, real ULC, COICOP group index growth, competition proxy, percentage of services and real GVA per capita growth.
Tables 3 and 4 show the result of the multivariate analysis to explain the over- or under-estimation by the parents of their child's quality of life.
These analyses show that ΔSCORE is related to both baseline SCORE and changed/added antihypertensive and lipid lowering medication in the multivariate analysis, with an explained variance of 36% (Table 3).
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