significant heterogeneity

USAGE SUMMARY

"significant heterogeneity" is a perfectly usable phrase in written English.
You can use it to indicate that something has a wide variety of elements or components, or that something has not been homogenized. For example, "The report showed significant heterogeneity in the views of participants about the proposed policy changes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There was a significant heterogeneity.

The Journal of Headache and Pain

The results showed no significant heterogeneity among the included studies.

International Journal of Implant Dentistry

There was significant heterogeneity in the included studies.

Injury Epidemiology

Finding significant heterogeneity among studies, we performed a qualitative assessment.

International Journal of Emergency Medicine

The imaging findings suggest significant heterogeneity in tumor targeting.

EJNMMI Research

The AUC was 0.8213 with no significant heterogeneity.

Annals of Intensive Care

Furthermore P value was used to identify the existence of significant heterogeneity where (P < 0.1) means significant heterogeneity.

Progress in Orthodontics

However, usage patterns by different professionals show significant heterogeneity.

Neurología

Significant heterogeneity of study results was found for most analyses.

Journal of Critical Care

There was also a significant heterogeneity in the observed associations.

Nutrition Research

There was significant heterogeneity among the interventions and study designs.

Reproductive BioMedicine Online

Expert writing Tips

Best practice

When reporting "significant heterogeneity" in research, always specify the statistical measures used (e.g., I² statistic, p-value) to quantify the degree of heterogeneity.

Common error

Do not just state that there is "significant heterogeneity". Investigate and, if possible, report potential sources of this heterogeneity, such as differences in study design, populations, or interventions.

Linguistic Context

The phrase "significant heterogeneity" functions as a noun phrase that describes the extent to which something lacks uniformity or consistency. According to Ludwig AI, this phrase is commonly used in scientific and research contexts to describe differences in data sets, study designs, or populations.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "significant heterogeneity" is a frequently used phrase, particularly in scientific and research contexts, to denote a notable lack of uniformity or consistency. Ludwig AI confirms that its primary function is descriptive, alerting readers to substantial variation within a dataset or study. The phrase is typically employed in formal and scientific writing. When using this phrase, it's important to specify the statistical measures used and to explore potential sources of heterogeneity to provide a comprehensive analysis.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

obvious heterogeneity

Simply removes the intensifying "significant" while retaining the core meaning.

important heterogeneity

Replaces "significant" with "important" to stress relevance of the variance.

substantial diversity

Focuses on the variety present rather than the inconsistency.

considerable variation

Emphasizes the extent of change or difference observed.

marked inconsistency

Highlights the lack of uniformity or agreement.

notable dissimilarity

Stresses the differences rather than the overall pattern.

pronounced divergence

Indicates a clear separation or deviation.

evident disparity

Highlights the inequality or difference that is easily noticeable.

distinct unevenness

Points out the lack of uniformity or regularity.

remarkable non-uniformity

Focuses on the absence of a consistent pattern or structure.

FAQs

How is "significant heterogeneity" typically assessed in research?

In research, "significant heterogeneity" is usually assessed using statistical tests like the Cochran's Q test or the I² statistic. A p-value less than 0.1 in Cochran's Q test or an I² value greater than 50% often indicates /s/significant+heterogeneity.

What does it mean if a study reports "no significant heterogeneity"?

If a study reports "no significant heterogeneity", it suggests that the results across different studies or subgroups are consistent and can be reliably combined. It implies that using a fixed-effects model in a meta-analysis is appropriate.

What are some alternatives to saying "significant heterogeneity"?

Depending on the context, you can use alternatives like "substantial diversity", "considerable variation", or /s/marked+inconsistency to express a similar meaning to /s/significant+heterogeneity.

What steps should be taken if "significant heterogeneity" is detected in a meta-analysis?

If "significant heterogeneity" is detected, researchers should explore potential sources of heterogeneity through subgroup analyses or meta-regression. They might also choose to use a random-effects model or avoid pooling the data altogether.