bivariable analysis

USAGE SUMMARY

The phrase "bivariable analysis" is correct and usable in written English.
It is typically used in statistical contexts to refer to the analysis involving two variables to understand their relationship or interaction. Example: "In our study, we conducted a bivariable analysis to examine the correlation between income and education level."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

In bivariable analysis, delay in initiation of effective therapy for >72 h after diagnosis of BSI was associated with death (P = 0.03).

Duke University

Initial model selection was based on bivariable analysis with theoretical considerations and p ≤0.2 for variable inclusion in the model.

Injury Epidemiology

VF was associated with younger age, receipt of nevirapine vs. efavirenz-based regimen, CD4% < 25%, and physician documentation of maladherence (P < 0.05 on bivariable analysis); the latter 2 factors remained significant on multivariate logistic regression.This study demonstrates poor performance of clinical and immunologic criteria in identifying children with virologic failure.

Duke University

Variables with a p-value≤0.2 in bivariable analysis were included as candidate variables for the multivariable models.

Plosone

All variables that were significant in the bivariable analysis (α<0.1) were included in the initial (full) multivariate Cox proportional hazard model.

Plosone

On bivariable analysis patients who lived 160 km or more from UHID, were seafarers, were heterosexuals, did not fail CART and had longer follow-up time, had fewer VL tests done (Table 2).

Plosone

*One way analysis of variance test in a bivariable analysis.

BMC Infectious Diseases

The results of bivariable analysis are shown in Table 1.

Emerging Infectious Diseases

On bivariable analysis, several goals were associated with chemotherapy treatment.

BMC Medical Informatics and Decision Making

All variables were highly significant in the bivariable analysis.

Global Health Action

TLE3 was independent of tumor size, nodal status, and grade by bivariable analysis in both cohorts.

Breast Cancer Research

Expert writing Tips

Best practice

When reporting results from a "bivariable analysis", clearly state the specific statistical test used (e.g., chi-square, t-test) and the resulting p-value.

Common error

Avoid using "bivariable analysis" when you are actually performing a multivariable analysis, which involves more than two variables. Using the term incorrectly can misrepresent the complexity and scope of your statistical methods.

Linguistic Context

The phrase "bivariable analysis" functions as a noun phrase, denoting a specific type of statistical analysis. Ludwig confirms its usage in academic and scientific contexts, indicating it's a standard term for describing analyses involving two variables. Many examples show its use in the methods sections of research papers.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

"Bivariable analysis" is a widely used term in scientific and academic research to describe statistical analyses involving two variables. As confirmed by Ludwig, the phrase is grammatically correct and very common in scientific literature. It's primarily used to explore the relationship between two variables before more complex analyses are conducted. While often interchangeable with "bivariate analysis", it's crucial to distinguish it from multivariable analysis, which involves more than two variables. When using this phrase, it's best practice to specify the statistical test used and report the p-value for clarity. The term carries a formal and scientific tone, making it suitable for research papers and technical reports.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Bivariate analysis

This is a direct synonym, often used interchangeably with "bivariable analysis".

Two-variable analysis

This alternative is a more explicit way of stating that the analysis involves two variables.

Analysis of two variables

This phrase emphasizes the action of analyzing, specifying that it involves two variables.

Examining the relationship between two variables

This alternative focuses on the relationship being studied rather than the method of analysis itself.

Assessing the association between two variables

This phrase highlights the assessment of the connection or correlation between the two variables.

Investigating the correlation between two variables

This alternative specifies correlation as the type of relationship being investigated.

Comparative analysis of two variables

This emphasizes comparing the two variables to identify differences or similarities.

Dual variable analysis

Uses 'dual' to specify the two variables being examined.

Simple regression analysis

Suggests a specific statistical method when the analysis involves one independent and one dependent variable.

Univariate analysis with stratification

This approach involves analyzing one variable at a time but stratifying based on the second variable.

FAQs

How is "bivariable analysis" used in research?

In research, "bivariable analysis" is used to explore the relationship between two variables. It helps determine if there is a statistical association between them before conducting more complex analyses.

What statistical tests are commonly used in a "bivariable analysis"?

Common statistical tests used in "bivariable analysis" include chi-square tests for categorical variables, t-tests or ANOVA for continuous variables, and correlation analyses to assess the strength and direction of relationships.

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

"Bivariable analysis" examines the relationship between two variables, while "multivariable analysis" explores relationships among three or more variables simultaneously, allowing for control of confounding factors.

When should I use "bivariable analysis" versus "multivariable analysis"?

Use "bivariable analysis" for initial exploration of relationships between pairs of variables. Opt for "multivariable analysis" when you need to control for confounding variables and understand the independent effects of multiple predictors on an outcome.