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We developed logistic regression models to assess for the multiple predictors of poor quality drug (generic drug class, type of outlet, country of origin, tablet packaging and appearance and size of trading centre), as well as potential interaction terms.
The Cox proportional hazard regression model was used to evaluate multiple predictors of overall survival.
This study has identified multiple predictors of self-assessed health of older people of Thailand.
We also used multiple linear regression to simultaneously examine multiple predictors of log-transformed creatinine-corrected concentrations of individual phenols.
We used the Cox proportional hazard model to evaluate multiple predictors of outcome and to eliminate confounding factors.
Individual linear regression analyses controlling for PMA at MRI revealed multiple predictors of GI and CSA (Table 2).
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The results of odds ratios of multiple predictors were used for the purpose of detection of the specific causes of factors that affect child mortality in Tanzania.
The method allows investigation of the relationship between two sets of variables that can identify important variables in a set of multiple predictors and a set of multiple outcomes.
The backward stepwise analysis was used in the Cox proportional hazard regression model, with shared frailty, which was fitted to assess the relationship of multiple predictors with the mortality of layers.
It is important to recognise that the use of multiple predictors assumes that the predictors are independent of each other.
The problem of spurious interpretations within ecological meta-analyses can be reduced by simultaneous testing of multiple predictors, which is made possible by larger databases.
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