Sentence examples for by sensitivity analyses with from inspiring English sources

The main analyses were performed after excluding patients with other malignancy or contralateral breast cancer, followed by sensitivity analyses with different exclusion criteria.

As these assumptions cannot be validated, we supplemented the analyses by sensitivity analyses based on scenarios with realistic deviations from MAR.

This association was confirmed by secondary analyses based on estimates derived after the exclusion of participants who had vascular disease at baseline and/or who developed vascular disease during follow-up (RR = 1.34 [1.14–1.58]; P < 0.001) and by sensitivity analyses addressing the association with diabetes at baseline or during follow-up.

We tested the robustness of model projections to baseline assumptions and parameter values by performing sensitivity analyses, with model inputs varied over plausible ranges, and incorporating alternate assumptions regarding vaccine program attributes.

In the case of imbalance between the two groups in baseline characteristics strongly associated with the outcome (confounding by chance), sensitivity analyses with adjustment for these covariates will be performed, using multiple linear regression and Cox regression.

Where data were missing on individual covariates (in 2362 participants), this was indicated in the regression models as a separate category, supplemented by sensitivity analyses performed on the sample with complete data on all covariates to check the consistency of findings.

Based on these considerations, treatment with irinotecan+5-FU/FA was associated with only a modest increase in cost compared with 5-FU/FA 5-FU/FAalonepported by sensitivity asalysupportedving only UK data), which together with the significant survival gain demonstrated for the combynation treatment (Douillard et al, 2000), jusensitivity use analysesst linvolvingpy fonlyetastatic colorectal cancer.

Therefore, our results are valid mainly for patients with type 2 diabetes as indicated by sensitivity analyses.

Explicit assumptions can then be tested by sensitivity analyses [6].

Results were confirmed by sensitivity analyses.

The robustness of these findings was evaluated by sensitivity analyses.