Exact(7)
This kind of evidence for the interrelationship between autoimmune disease and infectious disease can also only be achieved with confidence in the analysis of well-powered genome-wide studies.
Getting confirmation that our hypothesis is on track gives us confidence in the analysis of the data moving forward, and especially as we dive into the brand level.
Since these numerical models are formulated based on different assumption and theories, the models accuracy, computing time, and applicability vary, which poses a great difficulty to practicing engineering and limits their confidence in the analysis resultants.
Note, however, that our simulations demonstrated that despite this poor fit the model parameters were estimated with high accuracy and precision; this instils confidence in the analysis of the empirical data.
The histological data provided independent confirmation of the increased emphasis on oxidative metabolism in the postnatal samples thereby providing confidence in the analysis strategy.
Furthermore, the fact that the predicted proportions correlate well with another independent set of evolutionary rate differences across diverse life forms increases our confidence in the analysis.
Similar(53)
This would give an engineer the confidence in extending the analysis in any attempt at more sophisticated formation characterization.
When studies include few participants and have wide confidence intervals in the analysis, or have small confidence intervals with effects in different directions, heterogeneity is evident and the rating of the quality of evidence should be downgraded according to the GRADE approach recommended by the Cochrane Handbook [ 31].
It is concluded that the final vulnerability index may vary substantially depending on the degree of confidence accepted in the analysis, indicating the possibility of extending the deterministic version of DRASTIC to a stochastic one, where uncertainty is directly accounted for.
We selected 10 of the simulated gene trees from 10 species trees scaled to 160 N generations for which the confidence intervals in the analysis overlapped the true value of 50 species.
However, a recent analysis from the UK Renal Registry reporting on one year mortality in incident renal replacement treatment patients from the same study period identified much less variability in patients' survival, 17 and centres performing less well on the survival analysis were not the same as the centres outside the lower 99.8% confidence limit in the analysis of access to transplant.
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