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The presented multivariate trend tests are usually developed and employed to treat water quality data.
It is hence recommended to jointly apply univariate and multivariate trend tests in order to capture all existing trend components and guide the user towards the appropriate models.
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We also used χ and χ for trend tests, ANOVA after log-transformation if required, and multivariate regression analysis.
The multivariate trend model is fitted using the Prais Winsten recursive autoregression methodology.
The general form of multivariate trend analysis is given as [5, 41].
Thus, rather than other models, for example panel data regression model, we apply multivariate trend models.
Since we have no common exogenous input for the EM and EF flights, we fit multivariate trend model.
Multivariate Cox proportional hazards regression models were fitted by using all variables included as main effects terms, and we performed corresponding linear trend tests.
Trend tests were performed for ordinal variables.
No clear pattern of association was found between the amount of black tea consumed and risk of cancer in crude or multivariate analyses, but the trend test was statistically significant (P value for trend 0.03).
aCochran-Armitage trend test bChi-square Test.
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