unbiased analysis

USAGE SUMMARY

The phrase "unbiased analysis" is correct and usable in written English.
It can be used when referring to an examination or evaluation that is impartial and free from bias. Example: "The research team conducted an unbiased analysis of the data to ensure the results were credible and reliable."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Gorelik, R. & Gautreau, A. Quantitative and unbiased analysis of directional persistence in cell migration.

Nature

Kofler, R. & Schlötterer, C. Gowinda: unbiased analysis of gene set enrichment for genome-wide association studies.

Nature

Dryden, N.H. et al. Unbiased analysis of potential targets of breast cancer susceptibility loci by Capture Hi-C.

Nature

Here, we performed a multiparametric phenotypic characterization and unbiased analysis of human DC subsets in blood, tonsil, spleen, and skin.

Stanford University

"Not working on any of the major long-term global sea surface temperature data sets allowed the authors to perform an unbiased analysis," he continued.

The Washington Post

This unsupervised and unbiased analysis identified 14 and 12 distinct co-expression modules in 18R and B73, respectively (Fig. 2d, Supplementary Fig. S2a, and Supplementary Table S4).

Nature

This approach was chosen because of its accessibility and ease of use for unbiased analysis of available data.

Chemical Engineering Science

Recent advances in mass spectrometry-based chemical proteomics allow unbiased analysis of drug-target interactions under close to physiological conditions.

Journal of Proteomics

Unbiased analysis of RICC-seq signal reveals regional enrichment of DNA fragments characteristic of alternating rather than adjacent nucleosome interactions in tri-nucleosome units, particularly in H3K9me3-marked heterochromatin.

Nature

They arrive with a marketing blitz, so there's reputational capital at stake too, and they are based (for the most part) on accurate data, transparent methodologies and unbiased analysis, persuading corporate decision makers to take note.

The Guardian

For the unbiased analysis of all analyzable alleles, including precise knock-in, imprecise knock-in, and non-knock-in ones, we performed out out PCR of genomic integration sites at the ATP5B, PARP1, and RPL11 loci, followed by NGS analysis.

Nature

Expert writing Tips

Best practice

When aiming for credibility in reports, use "unbiased analysis" to assure the audience of impartiality. This is especially useful in science, news, and business contexts.

Common error

While an "unbiased analysis" aims for impartiality, it doesn't guarantee comprehensiveness. Ensure your analysis covers all relevant aspects, not just those that support a particular viewpoint. An incomplete analysis, even if unbiased, can still be misleading.

Linguistic Context

The phrase "unbiased analysis" functions as a noun phrase, where "unbiased" modifies "analysis". It describes the type of analysis being conducted, emphasizing its impartiality. As Ludwig AI confirms, the phrase is grammatically correct and commonly used.

Expression frequency: Very common

Frequent in

Science

48%

News & Media

28%

Formal & Business

24%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "unbiased analysis" is a widely used and grammatically sound phrase that emphasizes the objectivity and impartiality of an evaluation. As confirmed by Ludwig AI, it's commonly found in scientific, news, and business contexts where credibility is crucial. Alternatives such as "objective assessment" or "impartial evaluation" can be used for variety. When employing this phrase, ensure your methodology is transparent and considers all relevant factors to avoid any perception of skewed results. The prevalence of this phrase underscores the importance of trustworthiness in conveying information across various professional domains.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

objective assessment

Emphasizes the neutrality and lack of personal feelings influencing the evaluation.

impartial evaluation

Highlights fairness and the absence of favoritism in the evaluative process.

neutral evaluation

Focuses on the lack of alignment with any particular viewpoint.

objective scrutiny

Replaces analysis with a more critical and detailed examination.

dispassionate assessment

Underscores the absence of emotion in the evaluation.

fair assessment

Highlights justice and equity in the evaluative procedure.

evenhanded review

Suggests treating all sides or aspects equally in the assessment.

independent study

Focuses on the autonomy and freedom from external control in the research.

unprejudiced evaluation

Emphasizes the lack of preconceived notions influencing the assessment.

factual investigation

Highlights the use of verifiable evidence and data in the inquiry.

FAQs

How can I ensure I am conducting an "unbiased analysis"?

To conduct an "unbiased analysis", focus on using objective data, clearly define your methodology, acknowledge limitations, and be transparent about potential conflicts of interest. Seeking external review can also help ensure impartiality.

What's the difference between "unbiased analysis" and "independent analysis"?

"Unbiased analysis" refers to an analysis free from prejudice or preconceived notions, while "independent analysis" indicates that the analysis was conducted without influence from external parties. They often overlap, but independence focuses on the source and freedom from control, whereas unbiasedness focuses on the methodology and absence of prejudice.

What are some contexts where an "unbiased analysis" is particularly important?

An "unbiased analysis" is especially important in scientific research, financial reporting, legal proceedings, and journalistic investigations to ensure fairness, accuracy, and credibility.

What can I say instead of "unbiased analysis" to convey a similar meaning?

Depending on the specific context, you can use alternatives like "objective assessment", "impartial evaluation", or "neutral evaluation".