adjusted for age

USAGE SUMMARY

"adjusted for age" is a correct and usable phrase in written English.
You might use it when referring to data or statistics that have been adjusted to account for the age of the sample population. For example, "The results of the survey were adjusted for age to ensure that the outcome was representative of all age groups."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

All models were adjusted for age.

Health & Justice

Results were adjusted for age and gender.

The Journal of Headache and Pain

Sunil Gulati: Is the scale adjusted for age?

Huffington Post

All haplotype analyses were adjusted for age.

Plosone

First we adjusted for age (model 1).

Plosone

e Adjusted for age.

BMC Infectious Diseases

b Adjusted for age.

BMC Public Health

RRa: adjusted for age.

BMC Medical Informatics and Decision Making

Model adjusted for age.

BMC Public Health

a Adjusted for age.

BMC Public Health

OR2 = Adjusted for age.

BMC Musculoskeletal Disorders

Expert writing Tips

Best practice

Clearly define the age ranges or categories used in your analysis to ensure clarity and avoid ambiguity in interpreting the results.

Common error

Avoid simply stating that data is "adjusted for age" without detailing the specific methodology used. This can obscure the potential limitations or biases of the adjustment process. Always provide enough information for others to understand and evaluate your methods.

Linguistic Context

The phrase "adjusted for age" functions as an adjectival modifier, indicating that data or results have been modified or standardized to account for the influence of age. Ludwig AI confirms its correctness and usability in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "adjusted for age" is a grammatically correct and commonly used term, particularly in scientific and medical research, to indicate that data has been statistically modified to account for the effects of age. As Ludwig AI confirms, it's crucial for ensuring accuracy and fairness in comparisons across different age groups. While its use is primarily confined to formal and scientific contexts, understanding its meaning is valuable in interpreting research findings. Remember to specify the statistical methods used for age adjustment to maintain transparency and avoid oversimplification. Alternatives like "age-standardized" or "controlling for age" can be used depending on the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

age-standardized

Uses a single word to convey the concept of adjustment based on age, often used in statistics.

accounting for age

Emphasizes the process of considering age as a factor in analysis.

controlling for age

Highlights the effort to minimize the influence of age in a study.

age-corrected

Similar to "age-standardized", implying a mathematical correction.

with age as a covariate

Specifies the statistical role of age in the analysis.

stratified by age

Indicates that the data is divided into age groups for separate analysis.

considering age as a variable

Focuses on the inclusion of age as an element in the research.

taking age into account

A more general phrase for acknowledging age as an important factor.

normalized for age

Suggests that data has been transformed to a standard age distribution.

age is factored in

Emphasizes that age is an element of the calculation or analysis.

FAQs

Why is it important to use "adjusted for age" in research?

Using "adjusted for age" is crucial because it helps remove the confounding effects of age, allowing for a clearer understanding of the relationship between other variables. Age can significantly influence many outcomes, and not accounting for it can lead to misleading conclusions.

What does it mean when data is "adjusted for age"?

When data is "adjusted for age", it means statistical techniques have been applied to remove or minimize the influence of age on the results. This allows for fairer comparisons between groups with different age distributions.

What are some alternatives to saying "adjusted for age"?

You can use alternatives such as "age-standardized", "accounting for age", or "controlling for age" depending on the specific context and statistical method used.

How do you "adjust for age" in statistical analysis?

Common methods to "adjust for age" include regression analysis where age is included as a covariate, and standardization techniques where data is transformed to a standard age distribution. The specific method depends on the research question and the nature of the data.