Sentence examples for multivariable analysis where from inspiring English sources

All variables with a p-value < 0.2 in this univariable model were included in the final multivariable analysis where after model refinement was performed by backward stepwise elimination of main effects.

GE: Gastroenteritis; RTI: respiratory tract infection; ED: Emergency Department The multivariable analysis where all children were analyzed (n = 304) did not reveal any significant risk factor predicting the acquisition of any new infection.

These analyses showed that increasing endostatin levels predicted PAH development within 2 years in SSc patients in the univariable analysis, but not in multivariable analysis where age and percentage of predicted DLCO had stronger predictive value.

In multivariable analysis where duration of ART, anemia and lymphopenia were included using the forward stepwise method, only duration of ART remained in the final model, with the same odds ratio and P-value as above (table 2). a No significant associations were found for age, sex, clinical stage, body mass index or initial ART regimen.

A multivariable regression analysis, where the OQRS score was the outcome variable, was done to determine if a higher PICOT score was independently associated with a better OQRS.

As a third step we applied multivariable logistic regression analysis where the occurence of any of the indicators for adverse perinatal outcome was related to all measured individual risk factors plus the deprivation indicator was added.

However, even studies where multivariable analysis was used suggest that drop-out is a complex process that can be independently linked to more than one factor [ 2, 5, 7, 13, 14, 21- 26].

In this study, condom use with non-commercial partners was statistically significantly different in multivariable analysis according to the district where women were recruited into the study.

This first stage of multivariable analysis was not carried out for a group where two or fewer significant risk factors were identified in the univariable analysis.

We performed multivariable Cox regression analysis for all significant predictors in univariable analysis, where CD73 did not remain a significant predictor.

bVariables included in the final model for seasonal and pandemic 2009 H1N1 influenza, respectively, are those where odds ratios and P values are reported in the multivariable analysis.