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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data were adjusted for

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data were adjusted for" is correct and usable in written English.
It is typically used in research or statistical contexts to indicate that data has been modified to account for certain variables or factors. Example: "In the analysis, data were adjusted for age and gender to ensure accurate results."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

When these data were adjusted for misclassification, by using a recently described formula [17], the adjusted BED estimates were lower.

Science

Plosone

All data were adjusted for pertinent comorbidities, surgical history, co-therapeutics, and baseline scores.

Data were adjusted for age, gender, smoking, body mass index, ethnicity, marital status, alcohol use and prior cancer.

News & Media

The Telegraph

Plasma CETP activity was higher in Hispanic compared to Anglo women, although the difference was eliminated when data were adjusted for abdominal fat.

Science

Metabolism

Data were adjusted for sociodemographic variables and body mass index.Unhealthful weight-control behaviors and steroid use.More males (20.4%) than females (16.2%) reported participation in a weight-related sport.

Data were adjusted for illness severity (SAPS 1), fluid balance, ICU type, age, gender and major comorbidities.

Data were adjusted for age, gender, marital status (married or other), education (basic or higher), and occupation (employed or unemployed).

Raw data were adjusted for red/green bias.

Science

Plosone

Data were adjusted for age.

Data were adjusted for clustering.

Data were adjusted for height.

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Expert writing Tips

Best practice

When reporting statistical analyses, clearly state which variables the "data were adjusted for" to ensure transparency and replicability.

Common error

Avoid using the phrase "data were adjusted for" without specifying which variables were used in the adjustment. Always explicitly state the factors considered to prevent ambiguity.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data were adjusted for" serves as a statistical reporting function. It indicates that certain variables have been accounted for to provide a more accurate analysis. Ludwig AI confirms its correct usage in a variety of contexts.

Expression frequency: Very common

Frequent in

Science

85%

Academia

10%

News & Media

5%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "data were adjusted for" is a common and grammatically correct phrase used primarily in scientific and academic writing to indicate that statistical adjustments have been made to account for specific variables. As Ludwig AI confirms, it's important to explicitly state which variables were adjusted to maintain clarity and transparency. Common contexts include scientific research, academic papers, and reports where rigorous statistical analysis is essential. Remember to avoid ambiguity by always specifying the adjustment variables to ensure accurate and replicable results.

FAQs

How do I use "data were adjusted for" in a sentence?

Use "data were adjusted for" when you have modified data to account for specific variables. For example, "The "data were adjusted for age" and gender to remove any bias."

What are some alternatives to "data were adjusted for"?

Is it correct to say "data was adjusted for" instead of "data were adjusted for"?

No, "data" is generally treated as plural in this context, so the correct phrasing is "data were adjusted for."

What does it mean when "data were adjusted for confounders"?

It means that statistical methods were used to remove or minimize the effects of confounding variables, which are factors that could distort the true relationship between the variables of interest. This ensures a more accurate analysis.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: