applicable variables

USAGE SUMMARY

The phrase "applicable variables" is correct and usable in written English.
It can be used when discussing variables that are relevant or suitable for a particular context or situation, often in fields like statistics, research, or data analysis. Example: "In our study, we focused on the applicable variables that could influence the outcome of the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

Participants with non-missing information for all applicable variables were included in the model.

Health and Quality of Life Outcomes

To be reliable the test must be done rigorously using appropriate reference values corrected for applicable variables.

Diabetes Care

Thus, the identification and evaluation of universally applicable variables may require collaborations between different institutions or nations.

BMC Medical Informatics and Decision Making

Since 1-, 2- and 3-site production systems were surveyed, the herds were allocated in one of two subsets, where only applicable variables out of 180 were analysed.

BMC Veterinary Research

For the purpose of sound analysis, the herds were further investigated in two different subsets, in which only applicable variables were further tested.

BMC Veterinary Research

The group also emphasized that to be reliable the test must be carried out rigorously, using appropriate reference values corrected for applicable variables (2).

Diabetes Care

Human-verified similar examples from authoritative sources

Similar Expressions

51 human-written examples

If the magnitude of a correlation exceeds a certain level, then the applicable variable is included (Van Buuren et al., 1999).

Large-scale Assessments in Education

What happens to cheaters depends on applicable social variables.

Huffington Post

The performance of the CDR as a 2 *  k table (where k refers to the number of strata described) as well as the methods used to derive the CDR (where applicable), the variables considered, methods of statistical analysis and approach to multiple episodes in individual patients and missing data were also extracted.

European Journal of Cancer

For such methods to be applicable, previous variable selection is necessary and the number of selected variables should be smaller than the number of observations.

BMC Medical Research Methodology

The use of an easily applicable control variable, simply constructed on standard occupational job classifications, provides the possibility to differentiate between educational and occupational contributions.

BMC Public Health

Expert writing Tips

Best practice

When using "applicable variables", ensure the context clearly defines what makes these variables 'applicable'. Specificity enhances clarity.

Common error

Avoid using "applicable variables" without specifying the context or criteria for applicability. Instead of saying 'Consider all applicable variables', state 'Consider all variables applicable to predicting customer churn, such as purchase frequency and website activity'.

Linguistic Context

The phrase "applicable variables" functions primarily as a noun phrase, where 'applicable' modifies 'variables'. This indicates that only certain variables, those meeting specific criteria, are being considered. As noted by Ludwig AI, this phrase is grammatically correct and usable.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "applicable variables" is a grammatically sound phrase used to denote variables that are relevant and appropriate within a specific context, particularly in scientific and research settings. Ludwig AI confirms its correctness and usability. While not exceedingly common, it serves to specify a focused subset of variables, as confirmed by the examples. For greater clarity, always specify the context that makes the variables applicable. Alternatives such as "relevant variables" or "pertinent variables" can be used depending on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

relevant variables

Focuses on the pertinence and significance of the variables to a specific context.

pertinent variables

Emphasizes the direct and clear relevance of the variables.

suitable variables

Highlights the appropriateness of the variables for a particular purpose or analysis.

appropriate variables

Similar to 'suitable', but with a stronger implication of being the correct or best choice.

fitting variables

Suggests that the variables align well or correspond with the requirements of a situation.

germane variables

Indicates that the variables are closely related to the matter at hand.

apropos variables

Highlights the timeliness or situational appropriateness of the variables.

designated variables

Focuses on variables that have been specifically chosen or assigned for a task.

specified variables

Emphasizes variables that have been clearly defined or identified.

operative variables

Highlights variables that are actively influencing or producing an effect.

FAQs

How do I use "applicable variables" in a sentence?

You can use "applicable variables" to refer to the variables that are relevant or suitable for a particular situation, such as, "We only analyzed the "relevant variables" when building the model."

What are some alternatives to "applicable variables"?

Some alternatives to "applicable variables" include "relevant variables", "pertinent variables", and "suitable variables".

What does "applicable variables" mean in research?

In research, "applicable variables" refers to the variables that are appropriate and relevant for a specific study or analysis, ensuring that the research is focused and effective.

How to choose the most "applicable variables" for my study?

To select the most "applicable variables", clearly define your research question, understand the context, conduct a literature review, and ensure the variables are measurable and relevant to the study's objectives. Consider also if they are "appropriate variables" for the statistical methods you plan to use.