reduced heterogeneity

USAGE SUMMARY

The phrase "reduced heterogeneity" is correct and usable in written English.
It can be used in contexts such as research, statistics, or discussions about diversity, where you want to indicate a decrease in variation or differences within a group or dataset. Example: "The new treatment resulted in reduced heterogeneity among patient responses, leading to more consistent outcomes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

31 human-written examples

Exclusion of three potential outliers led to a small decrease, g = 0.73, 95% CI 0.55 to 0.92, and reduced heterogeneity (I2 = 36%; 95% CI 0 to 63).

Nature

Excluding trial data obtained only in abstract form reduced heterogeneity without substantially changing the effect estimate (Additional file 1: Table S7d).

Sports Medicine - Open

Arrindell [51] 2015 19 Preterm swine Randomized prospective, CPPV vs. APRV N/A 75%% PEF APRV increased oxygenation without change in histopathology or inflammatory markers Kollisch-Singule [56] 2015 14 Rat Randomized prospective, uninjured vs. LTV vs. APRV 90%75%5 % PEF APRV approximated control lungs best with increased homogeneity compared to LTV. LTV with high PEEP reduced heterogeneity.

Intensive Care Medicine Experimental

Adjustment for potential confounding factors reduced heterogeneity but some remained even in the confounder adjusted analyses, suggesting that residual confounding in some studies might explain this heterogeneity.

Plosone

However, reduced heterogeneity would increase assay resolution.

Biotechnology for Biofuels

This reduced heterogeneity to non-significant levels.

British Medical Journal

Human-verified similar examples from authoritative sources

Similar Expressions

29 human-written examples

The exclusion of traumatic ANFH further reduced heterogeneities across included studies.

BioMed Research International

Researchers should examine heterogeneity and prioritise inclusion of homogeneous and only weakly heterogeneous predictors, or attempt to include interaction terms or additional predictors that reduce heterogeneity in others.

BMC Medical Research Methodology

Protocols may also help reduce heterogeneity of treatment across centers in clinical trials.

Journal of Critical Care

Intensification of agriculture reduces heterogeneity at local and landscape levels and thereby impact biodiversity and ecosystem processes.

Biological Conservation

Thus, this research framework is aimed at characterizing the disease in a detailed and discrete manner to reduce heterogeneity, thereby allowing for the advancement of knowledge to be gained from both clinical trials and registries2.

Nature

Expert writing Tips

Best practice

When using "reduced heterogeneity" in scientific writing, ensure you clearly define the parameters within which heterogeneity was measured and how it was reduced. Provide specific data or statistical measures to support your claim.

Common error

Avoid using "reduced heterogeneity" without specifying what is becoming more homogeneous. Always clarify which specific variables or characteristics are exhibiting less variation to ensure clarity and avoid ambiguity.

Linguistic Context

The phrase "reduced heterogeneity" functions as a descriptive term, primarily used to indicate a decrease in the diversity or variability within a defined group or dataset. As Ludwig AI explains, it's common in scientific discourse. Examples show its application in various contexts, from clinical trials to genetic studies.

Expression frequency: Common

Frequent in

Science

96%

News & Media

2%

Formal & Business

2%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "reduced heterogeneity" is a phrase primarily used in scientific and research contexts to describe a decrease in variability or diversity within a dataset or population. As Ludwig AI confirms, the phrase is grammatically sound and frequently used. Achieving "reduced heterogeneity" is often a goal in research to improve the clarity and reliability of results. Common strategies involve refining inclusion criteria or stratifying analyses. While alternatives like "decreased variability" or "increased homogeneity" exist, "reduced heterogeneity" maintains a specific, technical connotation particularly suited to formal scientific discourse.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

decreased variability

Focuses on the statistical measure of dispersion being lowered.

lessened diversity

Highlights a decrease in the variety of elements within a group.

increased homogeneity

Emphasizes the resulting uniformity after reducing differences.

narrowed variation

Indicates a contraction in the range of differences.

diminished disparity

Highlights the decline in inequality or difference.

alleviated inconsistency

Focuses on the lessening of contradictory elements.

minimized differentiation

Emphasizes a reduction in the process of becoming distinct.

uniform distribution

Refers to data points being more evenly spread, reducing clumping or variance.

converged characteristics

Stresses a coming together or similarity in traits.

harmonized attributes

Implies an alignment and greater similarity among different qualities.

FAQs

How is "reduced heterogeneity" typically used in research?

In research, "reduced heterogeneity" often refers to making a sample or dataset more uniform to control for confounding variables or to improve the precision of an analysis. This can involve strategies like selecting participants with similar characteristics or standardizing experimental conditions.

What are some strategies to achieve "reduced heterogeneity" in a study design?

Common strategies include using stricter inclusion criteria, stratifying analyses by key variables, or employing techniques like propensity score matching to balance covariates across groups. These methods aim to create more comparable groups, which in turn reduces variability.

In meta-analysis, what does it mean when researchers aim to achieve "reduced heterogeneity"?

In meta-analysis, "reduced heterogeneity" suggests that the results from different studies are becoming more consistent. Researchers might try to achieve this by excluding outliers or conducting subgroup analyses to account for differences in study populations or methodologies.

What is the difference between "reduced heterogeneity" and "increased homogeneity"?

"Reduced heterogeneity" focuses on the process of decreasing variability or diversity, while "increased homogeneity" emphasizes the resulting state of uniformity. The terms are closely related and often used interchangeably, but they highlight different aspects of the same phenomenon.