multivariable analysis

USAGE SUMMARY

"multivariable analysis" is a grammatically correct and commonly used phrase in written English.
It refers to a statistical technique used to analyze data with multiple independent variables. Example: The researchers used multivariable analysis to examine the relationship between income, education level, and voting behavior.

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Multivariable analysis.

Stanford University

Design: Cross-sectional multivariable analysis.

Journal of Renal Nutrition

A multivariable analysis of risk factors for PEP was performed.

Harvard University

Variables with P < 0.05 were included in the multivariable analysis.

Harvard University

Then, the multivariable analysis tools are employed.

Energy Procedia

Multivariable analysis best identifies independent risk factors.

Journal of the American College of Surgeons

However, in the multivariable analysis, the effect of the salvage attempt number is attenuated.

Nature

In multivariable analysis, predictors of bleeding included diagnosis of pre-PMF, leukocytosis, previous hemorrhage, and aspirin therapy.

Nature

In multivariable analysis, increased pretransplant anthracycline was associated with cardiomyopathy.

Biology of Blood and Marrow Transplantation

All significant variables were put into a multivariable analysis to test for confounding.

Harvard University

Math. 51H is designed to give a rigorous freshman introduction to linear algebra and multivariable analysis.

Stanford University

Expert writing Tips

Best practice

When reporting results from a "multivariable analysis", clearly specify the variables included in the model and the statistical methods used.

Common error

Avoid interpreting the results of a "multivariable analysis" as proof of causation. While the analysis can identify associations between variables, it does not establish causal relationships.

Linguistic Context

The phrase "multivariable analysis" functions as a noun phrase, typically used as the subject or object of a sentence. It denotes a statistical method used to analyze the relationship between multiple variables. Ludwig AI confirms that this term is grammatically correct.

Expression frequency: Very common

Frequent in

Science

50%

Academia

50%

Formal & Business

0%

Less common in

News & Media

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

"Multivariable analysis" is a grammatically sound and frequently employed phrase, particularly within scientific and academic domains. It denotes a sophisticated statistical technique for dissecting relationships among multiple variables. As Ludwig AI's analysis shows, the phrase is widely used and understood in these specific contexts. When using this phrase, remember to clearly define the variables and methods involved. Avoid equating correlation with causation. The phrase is considered formal, aligning with its predominant use in research and scholarly publications.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

multivariate analysis

Replaces 'variable' with 'variate', emphasizing the multiple dependent variables being analyzed.

multiple variable analysis

Uses 'multiple' instead of 'multivariable', maintaining the core meaning with a slight variation in wording.

multifactorial analysis

Focuses on the analysis of multiple factors influencing an outcome, similar to multivariable analysis.

regression analysis

Implies a specific type of multivariable analysis focused on modeling the relationship between variables.

adjusted analysis

Emphasizes the adjustment for multiple variables in the analysis to control for confounding factors.

statistical modeling

Broadens the scope to encompass the construction and analysis of statistical models, which may include multivariable techniques.

predictive modeling

Uses multivariable analysis to create predictive models based on multiple variables.

complex data analysis

Highlights the complexity of the data being analyzed, often requiring multivariable approaches.

confounding variable analysis

Focuses specifically on identifying and analyzing the effects of confounding variables.

risk factor analysis

Specific type of multivariable analysis used to identify and assess risk factors.

FAQs

How is "multivariable analysis" used in research?

"Multivariable analysis" is used to examine the relationship between multiple independent variables and a dependent variable, while controlling for the effects of other variables. It helps researchers understand the unique contribution of each independent variable.

What types of statistical models are used in "multivariable analysis"?

Common statistical models used in "multivariable analysis" include multiple linear regression, logistic regression, Cox proportional hazards regression, and analysis of covariance (ANCOVA), depending on the nature of the dependent variable.

What is the difference between "univariate analysis" and "multivariable analysis"?

Univariate analysis examines a single variable at a time, while "multivariable analysis" examines the relationships between multiple variables simultaneously. Multivariable analysis allows for controlling for confounding variables and assessing the independent effects of each variable.

When should I use "multivariable analysis" instead of simpler statistical methods?

Use "multivariable analysis" when you need to control for confounding variables, assess the independent effects of multiple predictors, or examine complex relationships between variables. Simpler methods like t-tests or correlation analysis are appropriate when you're only interested in the relationship between two variables.