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bivariable and multivariable regression analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "bivariable and multivariable regression analysis" is correct and usable in written English.
You can use it in contexts related to statistics, data analysis, or research when discussing models that involve two or more independent variables. Example: "In our study, we employed bivariable and multivariable regression analysis to assess the impact of various factors on the outcome."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

We used bivariable and multivariable regression analysis to assess the association of risk game choices with malaria care-seeking behaviors and RDT acceptability.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

We then applied bivariable and multivariable regression analyses to examine relationships between risk game choices, different malaria care-seeking behaviors, and potential mediating pathways.

With their database of almost 600,000 foul calls, Mr. Wolfers and Mr. Price used a common statistical technique called multivariable regression analysis, which can identify correlations between different variables.

Correlations obtained through multivariable regression analysis were tested on randomly generated different fracture network types and natural fracture patterns.

We will use multivariable regression analysis to evaluate the impact of the intervention on primary and secondary outcomes.

Finally, we conducted a multivariable regression analysis.

Next, both bivariable and multivariable logistic regression analysis were conducted to further analyze data.

Table  2 presents the results of the bivariable and multivariable logistic regression analysis of GWG information seeking.

Descriptive statistics (minimum, maximum, mean, and standard deviation) were applied for continuous variables and simple percentages for categorical variables univariable, bivariable (Table  1) and multivariable logistic regression analysis (Table  2) were used to identify factors which were independently associated with use of herbal medicines.

Univariate and multivariable regression modeling was used.

Univariable and multivariable logistic regression analysis was performed for cTn-I elevation and ICU mortality.

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Expert writing Tips

Best practice

When using "bivariable and multivariable regression analysis", clearly define the independent and dependent variables in your study to ensure clarity and replicability.

Common error

Ensure each variable included in the "bivariable and multivariable regression analysis" is precisely defined and measured. Vague definitions can lead to inaccurate results and misinterpretations.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "bivariable and multivariable regression analysis" functions as a noun phrase. It identifies a specific type of statistical analysis used to model the relationship between variables. As Ludwig AI points out, this phrase is statistically sound and correct.

Expression frequency: Common

Frequent in

Science

80%

Academia

10%

News & Media

10%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "bivariable and multivariable regression analysis" is a common and correct phrase used to describe a statistical method for analyzing relationships between variables. As indicated by Ludwig AI, this phrase is most frequently encountered in scientific and academic contexts. It's essential to precisely define all variables involved in the analysis to avoid misinterpretations. Alternative phrases include "bivariate and multivariate regression analysis". When writing, clearly define your variables to ensure accurate and replicable results. The usage is generally consistent with its intended meaning in statistical and research-oriented writing.

FAQs

How do I properly use "bivariable and multivariable regression analysis" in a sentence?

You can use "bivariable and multivariable regression analysis" to describe the statistical methods employed in your research, for instance: "We used "bivariate and multivariate regression analysis" to assess the relationship between risk factors and disease incidence."

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

"Bivariable analysis" examines the relationship between two variables, while "multivariable regression analysis" assesses the relationship between one dependent variable and multiple independent variables simultaneously, controlling for confounding factors.

Are there any synonyms for "bivariable and multivariable regression analysis"?

Yes, alternatives include "bivariate and multivariate regression analysis", or simply referring to the specific types of regression used (e.g., linear regression, logistic regression) in both bivariable and multivariable contexts.

In what fields is "bivariable and multivariable regression analysis" commonly used?

"Bivariable and multivariable regression analysis" is commonly used in fields such as epidemiology, economics, social sciences, and healthcare to analyze data and identify relationships between variables.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: