Sentence examples for sufficiently unbiased from inspiring English sources
We explain the major technical challenges that have caused difficulty with predicting novel ligands, including the problems of sampling noise and the challenge of using benchmark datasets that are sufficiently unbiased that they allow the model to extrapolate to new regimes.
It remains to be determined whether PCR with degenerate oligonucleotide primers [ 21] can provide sufficiently unbiased whole-genome amplification, or whether less biased methods that do not rely on exponential amplification by PCR [ 22] will prove more useful.
In contrast, the simulations indicate that the proposed method can provide sufficiently unbiased treatment estimates, and associated confidence intervals with good coverage, over a wide range of scenarios, when the true sensitivity parameters and are known.
A sufficiently unbiased prior (e.g. a set of uncorrelated uniform distributions, as we have employed here) then injects minimal a priori information in the solution space and therefore provides a reasonably unbiased, statistically controlled sampling of the feasible flux states of the network.
As the low-frequency scan distortions are generally uncorrelated (random) between frames, then this blurring is sufficiently isotropic and unbiased.
Obtaining a sufficiently large and unbiased sample may be a prerequisite for this.
This study will provide sufficiently precise and unbiased evidence on the difference between both strategies in perinatal and maternal outcome and patient preferences.
Simulation showed the application of a global equation is unbiased and sufficiently precise to estimate time-invariant fecundity of this species.
For some clearly defined endpoints, the compliance between prediction and observation was found to be unbiased and sufficiently reliable to base regulatory decisions for combination products on CA predictions, eventually applying an additional safety factor of up to 10.
However, they are valid only if the assumptions of the propensity score methodology are satisfied, that is, if there are no unmeasured confounders, the propensity score model is correctly specified, the study size is sufficiently large to make the asymptotically unbiased estimator in fact unbiased, and the standard errors are reliable.
Our method requires an assumptions likely satisfied in the performed analysis – the set of strains should be sufficiently diverse to obtain an unbiased set of polymorphisms.
