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Another alternative is to use the variables that will be used in the analysis model in the imputation model (Schafer, 1997, Raghunathan et al., 2001).
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A multivariate predictive model for mortality was constructed by using the variables that had significant interactions with the rate of demise (P ≤.1).
This paper proposes an approach to interpreting the sky conditions using the variables that are readily accessible from meteorological stations for many years.
The final models were obtained by using the variables that minimized Akaike's Information Criterion AICC) [20].
The models were built using the variables that were found to be associated with these in bivariate analysis.
A Lowess Regression model, using the variables that demonstrated P ≤ 0.10 in the univariate analysis was made to identify the level of severity of each variable.
At baseline, no variables are found to influence the global satisfaction in a multiple regression analysis using the variables that show significant influences: centre and income level.
We performed univariate analyses to determine the magnitude of unadjusted associations and subsequently performed multivariate analyses using the variables that were deemed significant in the univariate analyses.
A multivariate Cox proportional hazard model for PFS and OS was built using the variables that were found significant at the univariate analysis.
A multivariable linear regression model was then constructed using the variables that were associated with ADL impairment in the preceding analysis.
Then, using the variables that were significant at p-value ≤ 0.25, we constructed a stepwise multivariate linear regression model and the significance level for variables entry the model was set at 0.2 and for removal at 0.4.
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