controlling for confounding variables

USAGE SUMMARY

The phrase "controlling for confounding variables" is correct and usable in written English.
It is typically used in research and statistical analysis to indicate the process of accounting for variables that may affect the outcome of a study. Example: "In our analysis, we focused on controlling for confounding variables to ensure the validity of our results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

This difference may be due to the inconsistency in controlling for confounding variables, variability in the definition of preterm birth and the lack of examination of weight gain during pregnancy as an effect modifier.

BMC Pregnancy and Childbirth

We also provide a method of controlling for confounding variables such as population stratification.

The American Journal of Human Genetics

After controlling for confounding variables there was a significant association between the number of comorbidities and TMD pain duration in all three regression models.

The Journal of Headache and Pain

In addition, the median sialometry of men was significantly greater than that of women (P =.003), even after controlling for confounding variables like underlying disease and medications.

Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and Endodontology

The union between epidemiology and epigenetics creates a new science that combines the strengths of both fields: the appropriate study design with adequate sample size to identify disease biomarkers and to uncover mechanistic pathways for environmental exposure and disease associations while controlling for confounding variables.

Experimental Gerontology

The logistic regression analysis was used to examine the relationship between the main independent variable (BMI) and HSV1 infection before and after controlling for confounding variables (Table 3).

Plosone

Analyses examined the association between dietary exposures with urinary arsenic while controlling for confounding variables.

Environmental Health Perspectives

This allowed for understanding the effect of each independent variable without controlling for confounding variables.

Global Health Action

This shows the importance of controlling for confounding variables in HRQOL data analysis.

Health and Quality of Life Outcomes

Several studies examined risk factors for mortality following THR by controlling for confounding variables using multivariate logistic regression analyses.

Bone and Joint Research

Even after controlling for confounding variables, workers with OA pain reported significantly reduced health status and significant work impairment.

BMC Musculoskeletal Disorders

Expert writing Tips

Best practice

When writing research papers, be specific about the statistical methods used for "controlling for confounding variables", such as regression analysis or stratification.

Common error

Avoid vague statements like "confounding variables were controlled for". Instead, explicitly list the variables that were controlled, such as age, sex, and socioeconomic status.

Linguistic Context

The phrase "controlling for confounding variables" functions as a modifier in research contexts. It indicates that researchers have accounted for extraneous factors that might influence the relationship between independent and dependent variables. As Ludwig AI confirms, this phrase is widely used in academic and scientific writing.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

The phrase "controlling for confounding variables" is a crucial element in research methodology, signifying that potential biases have been addressed through statistical or experimental techniques. Ludwig AI confirms its correctness and usability, primarily within scientific and academic contexts. When using this phrase, ensure you specify the confounding variables and the methods used to control them. Alternatives include "adjusting for confounding variables" and "accounting for confounding variables". Remember, failing to account for these variables can lead to skewed results and erroneous conclusions. Given its formal nature, it's best suited for academic papers and technical reports.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

adjusting for confounding variables

Replaces "controlling" with "adjusting", implying a statistical modification.

accounting for confounding variables

Uses "accounting" instead of "controlling", focusing on considering the impact of these variables.

correcting for confounding variables

Emphasizes the act of rectifying the influence of confounding variables.

statistically controlling for confounders

Specifies the method as "statistically" and shortens "confounding variables" to "confounders".

using statistical controls for confounding variables

Specifies the use of statistical controls in the process.

considering confounding variables

Focuses on the act of taking confounding variables into account during analysis.

managing confounding variables

Highlights the handling and manipulation of confounding variables in a study.

mitigating confounding variables

Focuses on reducing the impact or influence of confounding variables.

addressing confounding variables

Indicates directly dealing with the problem of confounding variables.

handling confounding factors

Uses the term "factors" instead of "variables" and "handling" in place of "controlling".

FAQs

How do I use "controlling for confounding variables" in a sentence?

You can use "controlling for confounding variables" to explain how you accounted for other factors that could influence the results of your study. For example: "After "adjusting for age" and socioeconomic status, the effect of the intervention remained significant."

What does "controlling for confounding variables" mean in research?

"Controlling for confounding variables" means using statistical techniques to remove the effect of extraneous variables that could distort the relationship between the independent and dependent variables. It helps to ensure that the observed effect is truly due to the variable being studied.

Which statistical methods are commonly used when "controlling for confounding variables"?

Common methods include regression analysis, stratification, matching, and propensity score matching. The choice of method depends on the study design and the nature of the confounding variables.

What's the difference between "controlling for confounding variables" and "ignoring confounding variables"?

"Controlling for confounding variables" involves actively accounting for their effects, while "ignoring confounding variables" means not addressing them. Ignoring confounders can lead to biased results and incorrect conclusions.