Sentence examples for sample analysis that from inspiring English sources
Cambridge Cancer Genomics is another startup company working on bringing new technologies to blood sample analysis that can better identify cancer and target personalized therapies for the disease.
Only the blood sample analysis that was performed on the samples taken in the first five minutes upon the admission of the patients to the hospital was taken into account.
The results reported in validation analyses support the conclusion from the full sample analysis that MM-estimator based on Model 2 is the optimal choice if MAE is the key criteria, whilst the ordinary least squares estimator based on Model 2 should be chosen if RMSE is the dominant one.> -wrap-foot> mean– meabsoluteuterroroRMSEMSE – root mean squared error.
We have presented a standardized approach for sample network analysis that can detect outlying samples in the absence of hierarchical clustering.
We restricted our analysis to participants with complete data on all mediators, which produced a sample for analysis that was somewhat younger and healthier than the main study sample.
First, we restricted our analysis to participants with complete data on all mediators, which produced a sample for analysis that was somewhat younger and healthier than the main study sample.
This requires blood gas sampling and analysis that is intermittent and delayed.
First, it requires invasive and expensive arterial blood sampling and analysis that is frequently not available, in particular in resource-limited settings.
We did not observe any of the correlations of TEG® values with age, gender or time from sampling to analysis that are described in other studies in other patient populations [ 14- 16].
Additionally, blood sample analysis demonstrated that the concentration of urea nitrogen in the WCWH100 group was higher than that observed in the other groups.
In the results of the workload challenge, 56% of respondents in the sample analysis said that recording, inputting, monitoring and analysing data was the most unnecessary and unproductive task added to their to-do list, while 53% cited excessive detail and frequency required when marking.
