correlated data

USAGE SUMMARY

The phrase "correlated data" is correct and usable in written English.
It can be used in contexts where you are discussing data sets that have a statistical relationship or connection with each other. Example: "In our analysis, we found that the correlated data between temperature and ice cream sales indicated a clear trend."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

For correlated data sets, Pearson's rank correlation was used to assess correlation coefficients and significance.

Annals of Clinical and Translational Neurology

PLSDA is a supervised classifier well-known for its ability to process correlated data.

Expert Systems with Applications

Principal component analysis (PCA) was shown effective in monitoring processes with highly correlated data.

Applied Thermal Engineering

Picking the most highly correlated data, they built a model to predict the sales of individual products based on the availability of other products.

Columbia University

The different methods provided highly correlated data.

EJNMMI Research

It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data.

Springer

However, the appropriate selection of atomic coordinates is an important factor to obtain well correlated data.

Journal of Cheminformatics

Require: A cluster of sensor nodes that produce correlated data for a given event.

EURASIP Journal on Wireless Communications and Networking

For serially correlated data, Bai [5] considered the estimation of the change point in linear processes.

Journal of Inequalities and Applications

To get a better view of the social and economic impact of strengthening the rule of law, we've correlated data from the World Justice Project, the World Bank and Transparency International.

Huffington Post

We applied an approach designed for highly correlated data, partial least squares regression.

Plosone

Expert writing Tips

Best practice

In research papers, ensure that you justify the use of specific statistical methods appropriate for analyzing "correlated data", such as generalized estimating equations (GEEs) or mixed models.

Common error

Failing to account for the correlation within a dataset can lead to inflated Type I error rates and unreliable conclusions. Always use appropriate statistical techniques that address "correlated data" structures.

Linguistic Context

The phrase "correlated data" functions as an adjective modifying a noun. It describes data that exhibit a statistical relationship, where changes in one variable are associated with changes in another. Ludwig AI confirms its common usage across various domains.

Expression frequency: Very common

Frequent in

Science

70%

Academia

20%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "correlated data" is a grammatically sound and frequently used term, predominantly in scientific and academic contexts. As Ludwig AI confirms, it effectively describes datasets with statistical dependencies. When analyzing "correlated data", it's crucial to employ appropriate statistical methods to avoid misleading conclusions. Be mindful of the specific type of relationship between the data points, and choose suitable analytical techniques accordingly.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Related data

Emphasizes a general connection or association between data sets.

Associated data

Highlights data that are linked together, often implying a statistical relationship.

Dependent data

Stresses the statistical dependence between data points, where one influences the other.

Interrelated data

Focuses on the mutual relationships and connections within the data.

Linked data

Highlights data points connected through a defined relationship or structure.

Interconnected data

Similar to interrelated, stressing multiple connections between data elements.

Mutually dependent data

Emphasizes a reciprocal relationship where each data set affects the other.

Statistically related data

Explicitly states the presence of a statistical relationship.

Co-occurring data

Highlights data that appear or happen together, suggesting a possible connection.

Intertwined data

Suggests a close and complex relationship where data elements are deeply connected.

FAQs

How do I properly analyze "correlated data" in research?

Use statistical methods designed for correlated data, such as Generalized Estimating Equations (GEEs), mixed models, or time series analysis, depending on the data structure. Ensure you justify your choice based on the type of correlation present.

What are some alternatives to saying "correlated data"?

You can use terms like "related data", "associated data", or "dependent data", depending on the specific relationship you want to emphasize.

What happens if I ignore the correlation in "correlated data" during analysis?

Ignoring correlation can lead to inaccurate statistical inferences, inflated Type I error rates, and unreliable conclusions. This is because standard statistical tests assume independence of observations, which is violated when data are correlated.

Which statistical tests are suitable for analyzing longitudinal or repeated measures "correlated data"?

Generalized Estimating Equations (GEEs) and mixed models are commonly used for longitudinal and repeated measures data. These methods account for the correlation within subjects over time, providing more accurate results than standard regression models.