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bivariable and multivariable statistical analysis

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "bivariable and multivariable statistical analysis" is correct and usable in written English.
You can use it when discussing statistical methods that involve two or more variables in analysis. Example: "In our research, we employed bivariable and multivariable statistical analysis to understand the relationship between the variables."

✓ Grammatically correct

Science

Human-verified similar examples from authoritative sources

Similar Expressions

60 human-written examples

AOP designed the study, conducted the network and multivariable statistical analysis and wrote the manuscript.

DUP conducted the multivariable statistical analysis and reviewed the manuscript.

Multivariable statistical analysis approaches (Analysis of Similarity and redundancy analysis) were used to assess the regional differences, and to identify impact factors as well as their contributions.

Bivariate and multivariable statistical techniques were applied.

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

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

In bivariable and multivariable analysis, consumption of salad was again associated with increased risk of disease (Table 3).

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

The data was double entered into prepared data bases using MS Office Excel 2007 and univariable, bivariable and multivariable analysis done using STATA/SE 10.0 for windows software.

This step is important because it can show the pattern of distribution of each variable, and then select appropriate approaches for bivariable and multivariable analysis.

Eating salad from a self-service salad buffet was associated with higher risk of disease in bivariable and multivariable analysis (Table 2).

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Expert writing Tips

Best practice

When reporting statistical results, specify which "bivariable and multivariable statistical analysis" techniques were used (e.g., regression, ANOVA).

Common error

Avoid assuming causation solely based on the results of "bivariable and multivariable statistical analysis". Further investigation is required to establish causality.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

78%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "bivariable and multivariable statistical analysis" serves as a noun phrase, denoting a specific type of statistical methodology. It is frequently used in research papers and reports. According to Ludwig, the phrase is grammatically correct.

Expression frequency: Missing

Frequent in

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Less common in

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Ludwig's WRAP-UP

In summary, "bivariable and multivariable statistical analysis" is a grammatically correct phrase referring to statistical methods used to analyze relationships between two or more variables. While Ludwig confirms its grammatical correctness, it's usage is currently missing from our data. It is most commonly used in formal, scientific contexts. Related terms include "bivariate and multivariate statistical analysis". Common errors include inferring causation from correlation. According to Ludwig AI, the phrase is grammatically sound.

FAQs

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

"Bivariable" analysis examines the relationship between two variables, while "multivariable" analysis examines the relationship between three or more variables.

When should I use "bivariable and multivariable statistical analysis"?

Use "bivariable and multivariable statistical analysis" when you want to understand the relationships between multiple variables in a dataset.

What are some common techniques used in "bivariable and multivariable statistical analysis"?

Common techniques include regression analysis, ANOVA, and chi-squared tests.

How do I report the results of a "bivariable and multivariable statistical analysis"?

Report the statistical test used, the p-value, and any relevant effect sizes or confidence intervals. Also, provide a clear interpretation of the results in the context of your research question.

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Source & Trust

78%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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