important associations

USAGE SUMMARY

The phrase "important associations" is correct and usable in written English.
You can use it when referring to significant connections or relationships between concepts, people, or organizations. Example: "The study highlighted several important associations between diet and health outcomes."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

On the other hand, bacteria were associated with water temperature only during rain periods, and somewhat important associations of bacteria with nitrogen and pH were found during the periods of snowmelt.

Journal of Hydrology

The Benefits Evidence for the benefits of moderate alcohol consumption comes almost entirely from epidemiological, or population, studies that can reveal important associations but cannot prove cause and effect.

The New York Times - Health

But the weekend concerts in the Music Shed by the Boston Symphony Orchestra do offer some notable artists, several of whom have had important associations with the orchestra, starting tonight with Robert Spano, once an assistant conductor under Seiji Ozawa.

The New York Times

A parallel peer-reviewed study on the behaviour of bees subjected to the same insecticides found the bees were slower to learn or completely forgot important associations between floral scent and food rewards.

The Guardian

These inconsistencies highlight the need for more research that disentangles these important associations.

Injury Epidemiology

Genome-wide association studies have discovered many biologically important associations of genes with phenotypes.

Methods

We then use text mining to extract important associations between key entities (insights).

Information Sciences

While these studies have identified important associations, potential biases, if unrecognized, can result in misinterpreted conclusions.

Advances in Chronic Kidney Disease

Although our study tested a limited number of controls, important associations were observed.

The Breast

This data pluralism enabled us to uncover important associations between diseases with unrelated phenotypic manifestations but with common genetic origin.

Gene

ML: There isn't any question that some very important associations began on the cruise.

Huffington Post

Expert writing Tips

Best practice

When discussing research findings, use "important associations" to highlight statistically significant relationships or connections that warrant further investigation.

Common error

Avoid implying direct causation when describing "important associations". Correlation does not equal causation; be clear about the nature of the relationship.

Linguistic Context

The phrase "important associations" functions as a noun phrase, where "important" modifies the noun "associations". Ludwig AI confirms its validity and usability. The phrase commonly appears as the object of verbs like "reveal", "highlight", or "identify".

Expression frequency: Very common

Frequent in

Science

75%

News & Media

15%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "important associations" is a grammatically sound and frequently used noun phrase that effectively highlights significant relationships or connections. Ludwig AI validates its correctness and widespread use across diverse contexts. Predominantly found in scientific and news-related sources, this phrase serves to emphasize the importance of the identified links, making it a valuable tool for researchers and communicators alike. While the phrase is useful for denoting significance, it is essential to avoid implying causation where only correlation exists.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

significant correlations

Emphasizes the statistical aspect of the relationship, focusing on how strongly variables are related.

notable connections

Highlights that the connections are worthy of attention or are easily recognized.

key relationships

Stresses the importance of the relationships in achieving a particular outcome or understanding a concept.

crucial links

Indicates that the links are essential and vital for the overall system or understanding.

relevant relationships

Focuses on the pertinence and applicability of the relationships to a specific context or subject.

meaningful connections

Highlights that the connections have a deeper significance or impact beyond the surface level.

substantial links

Suggests that the links are strong, considerable, and have a noticeable effect.

influential relationships

Focuses on the capacity of the relationships to affect or determine outcomes.

consequential associations

Highlights that the associations lead to significant or important consequences.

fundamental correlations

Emphasizes that the correlations are basic and essential to understanding the subject.

FAQs

How can I use "important associations" in a sentence?

You can use "important associations" to describe significant connections between different elements. For example, "The study revealed several important associations between lifestyle choices and long-term health outcomes."

What are some alternatives to saying "important associations"?

Alternatives to "important associations" include "significant correlations", "key relationships", or "notable connections", depending on the specific context.

Which is correct, "important associations" or "importantly associated"?

"Important associations" is a noun phrase, referring to the connections themselves. "Importantly associated" would be used to describe something that is significantly linked to something else. For example: "These factors are importantly associated with the disease."

What's the difference between "important associations" and "strong correlations"?

"Important associations" is a broader term that can refer to any significant relationship, while "strong correlations" specifically refers to a statistical measure of the degree to which two variables are related.