bivariable and multivariable analyses

USAGE SUMMARY

The phrase "bivariable and multivariable analyses" is correct and usable in written English.
It can be used in contexts related to statistical analysis, research, or data evaluation involving two or more variables. Example: "The study employed bivariable and multivariable analyses to assess the impact of various factors on health outcomes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

This paper reports the results of bivariable and multivariable analyses.

BMC Pediatrics

The Outcome data will be analysed using bivariable and multivariable analyses.

BMJ Open

In both bivariable and multivariable analyses, a p-value of <0.05 was considered to indicate a significant association.

BMC Medical Research Methodology

The study consisted of four phases: data collection, data linkage and management, descriptive analyses, bivariable and multivariable analyses.

Environmental Health: A Global Access Science Source

In bivariable and multivariable analyses, we assessed the associations between failure to complete the trial and 17 pre-specified baseline characteristics.

BMC Medical Research Methodology

We conducted univariable, bivariable, and multivariable analyses using statistical techniques that account for the complex survey sampling design, using Stata 12.0, and following NCHS guidelines (CDC 2012b).

Environmental Health Perspectives

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

Bivariate and multivariable analyses were performed using Stata (version 10.0).

Plosone

Based on this imputation, we present adjusted results of bivariable analyses in Table  3, and multivariable analyses in Table  4.

AIDS and Behavior

The same was true for unpaired and multivariable analyses.

American Journal of Kidney Diseases

Both univariable and multivariable analyses were performed.

Plosone

Uni- and multivariable analyses were done by logistic regression.

Plosone

Expert writing Tips

Best practice

When reporting results, clearly specify which variables were included in each "bivariable and multivariable analyses" to ensure transparency and reproducibility.

Common error

Avoid overstating the significance of results solely based on p-values from "bivariable and multivariable analyses". Always consider the effect size, confidence intervals, and practical implications of your findings.

Linguistic Context

The phrase "bivariable and multivariable analyses" functions as a noun phrase that identifies the type of statistical methods used in a study. As Ludwig AI indicates, this phrase is commonly found in scientific research to describe the approach to data analysis. Ludwig provides examples showing its use in context.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "bivariable and multivariable analyses" is a grammatically correct and commonly used term within scientific research to describe statistical methods that analyze the relationship between variables. Ludwig AI confirms its validity and provides examples of its use in various contexts. While alternatives exist, this phrase effectively communicates the analytical approach used in studies. Its usage is predominantly within formal and scientific registers, emphasizing its role in academic and research settings. Remember to clearly specify variables and avoid misinterpreting statistical significance when using and interpreting these analyses.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

univariate and multivariate analyses

Replaces "bivariable" with "univariate" and "multivariable" with "multivariate", focusing on the number of variables analyzed.

two-variable and multiple-variable analyses

Breaks down the terms to their numerical components, offering a more descriptive alternative.

bivariate and multivariate statistical methods

Substitutes "analyses" with "statistical methods", emphasizing the analytical approach.

two-way and multi-way analyses

Uses "way" instead of "variable", altering the terminology while maintaining the core concept.

simple and complex regression analyses

Replaces the terms with descriptions of the complexity involved.

correlation and regression analyses

Focuses on specific statistical techniques used in analyzing the data.

descriptive and inferential analyses

Shifts the focus to the type of analysis performed based on its purpose.

comparative statistical evaluation

Emphasizes the comparison aspect of the analyses, generalizing the method.

statistical modeling

Broadens the scope to encompass the overall process of creating statistical models.

data analysis techniques

A very general term to cover any data evaluation approach.

FAQs

How do I use "bivariable and multivariable analyses" in a research paper?

In a research paper, you would use "bivariable and multivariable analyses" to examine the relationships between variables. For example: "We employed "bivariable and multivariable analyses" to assess the impact of socioeconomic factors on health outcomes."

What's the difference between "univariate analysis", bivariable, and multivariable analyses?

Univariate analysis examines a single variable, bivariable analysis explores the relationship between two variables, and multivariable analysis considers the relationships among three or more variables simultaneously.

When should I use bivariable versus multivariable analyses?

Use bivariable analyses for initial exploration of relationships between two variables. Use multivariable analyses when you need to control for confounding variables and assess the independent effects of multiple predictors on an outcome.

What are some common software packages for conducting "bivariable and multivariable analyses"?

Common software packages include SPSS, Stata, R, and SAS. These packages offer a range of statistical tools suitable for performing both bivariable and multivariable analyses.