Sentence examples for multivariable analysis but from inspiring English sources
AAC also remained significant on multivariable analysis, but did not improve net reclassification (NRI=0).
These associations remained significant in multivariable analysis, but there was no significant treatment interaction (Additional file 1).
The effect was not significant in the multivariable analysis, but nonetheless shows that such decisions are often being performed within settings delivering multidisciplinary palliative care.
Prognostic factors may be statistically significant in multivariable analysis, but it is possible that they do not add predictive information and may be therefore less relevant.
Efforts were made to compensate for these differences in the multivariable analysis, but we may not have been able to overcome the differences.
Chemotherapy and oophorectomy were both associated with reductions in mortality in the multivariable analysis, but neither of these associations was statistically significant.
In view of the 30 events observed, we did not strictly follow the classical rule of a minimum of 10 outcome events per predictor variable in the multivariable analysis [29], but our analysis fulfilled the minimum of 5 events per predictor variable proposed by recent simulation studies [30].
In a multivariable analysis, only double – but not single – CEBPA mutations were identified as independent prognostic factors.
Adjusting for standard risk factors in a multivariable analysis attenuates HRs but a substantial relationship between self-rated health and fatal or non-fatal MI remains.
Disregarding reflux, the multivariable analysis revealed small but significant differences in separate risk factor exposure, favouring an increased exposure in men.
In view of the 30 events observed, we did not strictly follow the classical rule of a minimum of 10 outcome events per predictor variable in the multivariable analysis [ 29], but our analysis fulfilled the minimum of 5 events per predictor variable proposed by recent simulation studies [ 30].
