The phrase "an unbiased method of" is correct and usable in written English.
It can be used when discussing approaches or techniques that do not favor one side over another, ensuring fairness and objectivity.
Example: "The researchers employed an unbiased method of data collection to ensure the results were valid and reliable."
Alternatives: "a neutral approach to" or "an impartial technique for".
Thus, this presents an unbiased method of diagnosing the presence of wide range of prokaryotic and eukaryotic organisms (Moretti et al. 2007; Janse 2010).
The merits of using the sscMap software have been previously addressed [5], [6], this now coupled with an unbiased method of therapeutic selection enhances its utility.
We have developed an unbiased method of quantifying reversible cysteine oxidation in proteins using an affinity capture technique we call Purification of Reversibly Oxidized Proteins (PROP).
With an appropriate imputation model, multiple imputation is an unbiased method of accounting for missing data.
If the initial person is not available, the person with the next birthday is selected (as an unbiased method of selection).
Only eight study cohorts were prospectively investigated for the primary reason of identifying a foot disease disorder or risk factor; 32 37 40 42 47 83 106 107 however, only one used an unbiased method of measurement.
Genome-wide gene expression analysis is an unbiased method to evaluate the mode of action of chemical compounds.
Genome-wide association studies (GWASs) are an unbiased method for the discovery of new functional mechanistic pathways in disease processes [ 53] such as preterm birth and abnormal fetal growth.
To better understand what determines the susceptibility of intracellular proteins to degradation by the UPS, we developed an unbiased method for large-scale identification of eukaryotic degrons.
This approach provides an unbiased method for identifying the targets of TgCDPK1, which has previously been shown to control microneme secretion during motility.
Class prediction gives the clinician an unbiased method to predict the outcome of cancer patients in comparison to traditional methods based on histopathology or empirical clinical data, which do not always reflect patient outcome.
