Bivariable analysis

USAGE SUMMARY

The phrase "Bivariable analysis" is correct and usable in written English.
It can be used in contexts related to statistics or research where the relationship between two variables is being examined. Example: "In our study, we conducted a bivariable analysis to explore the correlation between income and education level."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Bivariable analysis was conducted to determine the association between potential risk factors and such colonization; the primary risk factor variable of interest was prior FQ use.

Emerging Infectious Diseases

Bivariable analysis was done to determine if maternal characteristics varied among those who were retained in the study and those who were lost-to-follow-up.

BMC Pregnancy and Childbirth

Bivariable analysis indicated that more case-patients (11.0%) than control-patients (3.8%) reported a history of farm animal contact during the 5 days before disease onset (p = 0.0004).

Emerging Infectious Diseases

Bivariable analysis was also conducted for maternal, first ANC visit, and delivery characteristics by gestational age at first ANC visit (trimesters) and stillbirth status.

BMC Pregnancy and Childbirth

Bivariable analysis with the χ test was used to determine whether each variable was independently associated with case or control status.

Emerging Infectious Diseases

Bivariable analysis was performed initially to identify variables potentially influencing each outcome, based on statistical rejection criteria of p > 0.1; these variables were then included in the multivariable models.

Acta Orthopaedica

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

Injury Epidemiology

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

Expert writing Tips

Best practice

When conducting a "bivariable analysis", clearly state the two variables being examined and the statistical method used (e.g., chi-square test, t-test).

Common error

Avoid using "bivariable analysis" when more than two variables are being analyzed simultaneously. Use "multivariable analysis" instead when considering the effects of multiple variables.

Linguistic Context

The phrase "bivariable analysis" functions as a noun phrase, typically used to describe a specific type of statistical analysis. According to Ludwig, this analysis examines the relationship between two variables, as shown in the examples provided.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "bivariable analysis" is a commonly used term in scientific and academic fields to describe the statistical analysis of two variables. Ludwig's AI confirms its grammatical correctness and frequent use in scientific publications. When using this phrase, ensure it accurately reflects the scope of your analysis, differentiating it from multivariable approaches. While alternatives like "bivariate analysis" exist, "bivariable analysis" is well-established and understood in its specific context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Bivariate analysis

A direct synonym, referring to the same statistical analysis involving two variables.

Two-variable analysis

Emphasizes the number of variables involved in the analysis.

Simple correlation analysis

Focuses on the correlation aspect of examining two variables.

Association analysis

Highlights the assessment of association between two variables, without specifying the method.

Correlation study

Refers to a study specifically designed to find correlation between two variables.

Relationship analysis

A broader term that can encompass different types of relationships beyond simple correlation.

Pairwise comparison

Focuses on comparing variables in pairs.

Two-way analysis

Highlights that two variables are considered in the analysis.

Unadjusted analysis

Indicates that the analysis is conducted without controlling for other variables.

Marginal analysis

Emphasizes the effect of one variable on the other without considering other factors.

FAQs

What is the purpose of conducting a "bivariable analysis"?

A "bivariable analysis" aims to explore the relationship or association between two variables. It helps determine if changes in one variable are related to changes in another.

How does "bivariable analysis" differ from multivariable analysis?

"Bivariable analysis" examines the relationship between two variables, while multivariable analysis examines the relationship between one variable and multiple other variables simultaneously. Multivariable analysis can control for confounding variables.

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

Common statistical tests include chi-square tests for categorical variables, t-tests or ANOVA for continuous variables, and correlation analysis to measure the strength and direction of a linear relationship. The selection of a proper test depends on the kind of variable you are dealing with.

What are some alternatives to "bivariable analysis"?

Depending on the context, alternatives to "bivariable analysis" include "bivariate analysis", "two-variable analysis", or "correlation analysis".