Sentence examples for robust unbiased from inspiring English sources

Exact(7)

Two, that when you make big promises, you should have robust, unbiased and powerful data to support them.

To overcome these shortcomings, we propose a novel INS/UWB-integrated system, in which the difference between the INS-measured position and UWB-measured position is corrected using a robust unbiased finite impulse response (UFIR) filter in a fusion center.

Using the SAS system, we calculated z-scores for all subjects and all DXA measures in the NHANES dataset; average z-scores were very close to zero with standard deviations very close to unity for all fitted DXA measures, indicating that the LMS curve fitting procedure produced robust, unbiased fits to the underlying reference data.

What is needed is a robust, unbiased, quantifiable system that is relevant for translation to ground-based applications and that is able to clearly distinguish spaceflight effects.

Among them, GC/MS is a robust, unbiased method in identifying and quantifying metabolites with high sensitivity, simplicity, high reproducibility and NIST database accessibility [ 20, 21].

There is a need for robust unbiased data to provide clear answers to the question of risk of death from the presenting cancer diagnosis versus risk of a future new primary cancer in an individual with hereditary breast cancer.

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Similar(52)

Veridical, an in silico method for validation of DNA sequencing variants that alter mRNA splicing, has been developed to provide high throughput, statistically-robust unbiased evaluation based on RNAseq data.

Performance results demonstrate the classification models to be robust and unbiased.

We have applied a robust and unbiased module network inference algorithm to a cancer-related expression data set of both mRNAs and miRNAs.

To offer robust and unbiased predictions for further analyses, we required that these pairs must be highly ranked not only with the parameters specific to the positive category (QMA adjusted), but also with the parameters shared by all the interaction categories (QMA fixed).

In order to understand this process, robust and unbiased statistical analyses should be developed.

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