Examples of univariate

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However, multivariate models with time-varying coefficients and some international linkages improve on univariate models both with fixed and time-varying coefficients.
Finally, univariate sensitivity analyses were conducted on variables that were estimated from treatment guidelines and expert reviews, to determine their impact on the above estimates.
Significant univariate effects were followed by simple contrasts (presented in text).
Logistic regression was used for both the univariate and multivariate analyses to adjust for baseline differences associated with age and gender.
For both countries, differences between human groups were compared by univariate statistical test (x2 with correction for continuity and permutation test between statistical units).
Table 3 reports the univariate correlations between perceived maltreatment ratings and adjustment variables.
Among males, no univariate correlation between maltreatment and adjustment was significant.
The univariate results indicated a main effect for group for two subtests.
Both univariate and multivariate analyses indicated that the relationship between perceived maltreatment and behavior problems was greatest among females.
The univariate breakdowns were of more substantive interest and are focused on subsequently.
First, we examined univariate associations, both linear and nonlinear.
We performed an exploratory univariate analysis to identify the impor tant var iables of each careg iver outcome variable.
Factors which were not significant in the univariate analysis were not included in the subsequent models when adjustments were made.
Consumption of water outside the home was associated with typhoid fever in univariate analysis, but this variable was not in our multivariate model.
Subsequently, multiple predictors of this outcome variable, that showed (nearly) significant results in the univariate analyses, were entered stepwise into a multiple logistic regression analysis.
Table 10 reports the estimated coefficients from the univariate and multivariate threshold models.

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