pooled data

USAGE SUMMARY

"pooled data" is correct and usable in written English.
It is a term used when referring to data that has been combined from multiple sources. For example, "The researchers used pooled data from five different studies to analyze the results."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Pooled data from placebo- and insulin-treated patients were compared with pooled data from exenatide-treated patients.

Cardiovascular Diabetology

Researchers in the Netherlands pooled data from 32 studies of premature menopause and early onset menopause that included more than 310,000 women.

The New York Times - Health

The national services were sometimes happy to share intelligence with other countries, but loth to input the information into a pooled data base.

The Guardian

Pooled data revealed a sensitivity of 94.1%.

International Journal of Emergency Medicine

Pooled data revealed a specificity of 92.4%.

International Journal of Emergency Medicine

Data presented are the means of pooled data.

Botanical Studies

JPL, SDZ and MJL conducted the analysis of pooled data.

The Journal of Headache and Pain

That combines the network effects of pooled data across games with a huge market to conquer.

TechCrunch

"Data controllers should seek to control and limit access to such pooled data," it notes.

TechCrunch

Furthermore, Fisher's combination test and pooled data analysis were considered and compared through the simulation.

Contemporary Clinical Trials

The companion study and pooled data from both studies also yielded similar results.

Gastroenterology

Expert writing Tips

Best practice

When using "pooled data", clearly indicate the sources and methodology used to combine the data to ensure transparency and reproducibility.

Common error

Avoid using "pooled data" without ensuring that the individual datasets are compatible and that any necessary adjustments have been made to account for differences in data collection methods or populations. Otherwise, your results may be misleading.

Linguistic Context

The primary grammatical function of "pooled data" is as a noun phrase, where "pooled" acts as an adjective describing the type of data. Ludwig AI identifies its proper use as data that has been combined from multiple sources.

Expression frequency: Very common

Frequent in

Science

75%

News & Media

20%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "pooled data" refers to data that has been combined from multiple sources for analysis. Ludwig AI confirms that it is grammatically correct and commonly used, especially in scientific and research contexts. When using this phrase, ensure clarity about the sources and methodology involved in combining the data. Common usage patterns lean towards formal and scientific writing, where accuracy and transparency are paramount. Remember to avoid combining incompatible datasets and always account for potential biases. By following these guidelines, you can effectively use "pooled data" in your writing and research.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

combined datasets

Focuses on the datasets themselves being merged, rather than the action of pooling.

aggregated information

Emphasizes the collection and summarization of information into a single group.

merged results

Highlights the outcome of combining different results into a unified whole.

integrated data

Suggests a more seamless and unified combination of data than simply pooling.

collated data

Focuses on the systematic gathering and arranging of data from various sources.

unified database

Refers specifically to a database created by combining data, rather than a general concept.

consolidated figures

Emphasizes combining numerical data into a single set of figures.

harmonized data

Suggests the process of making data consistent and compatible before combining it.

centralized data

Highlights that data are stored in one central repository.

synthesized information

Emphasizes the process of combining information to create a new understanding or result.

FAQs

How is "pooled data" used in research?

"Pooled data" is used to increase statistical power, examine trends across different studies, and generalize findings to a broader population. Researchers combine datasets from multiple sources to achieve these goals.

What are the advantages of using "pooled data"?

Using "pooled data" can lead to more robust results, increased sample size, and the ability to detect subtle effects that might not be apparent in smaller, individual studies. It also allows for broader generalizations of findings.

What are some potential drawbacks of using "pooled data"?

Potential drawbacks include heterogeneity between datasets, differences in data collection methods, and the risk of introducing bias if the original studies were not comparable. Careful consideration and statistical adjustments are needed when using "pooled data".

Are there alternatives to using "pooled data" in meta-analysis?

While "pooled data" is common in meta-analysis, researchers can also use methods that do not involve directly combining datasets, such as analyzing summary statistics from each study. Other phrases you can use instead of "pooled data" include "combined datasets" or "aggregated information".