models using multilevel

USAGE SUMMARY

The phrase "models using multilevel" is correct and usable in written English.
It can be used in contexts related to statistical analysis, research methodologies, or data modeling where multilevel modeling techniques are being discussed. Example: "The researchers developed models using multilevel approaches to analyze the data collected from various sources."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

We tested three sequential models using multilevel modeling following Raudenbush and Bryk (2002) and Singer and Willet (2003).

Language Testing in Asia

Continuity scores were compared across models using multilevel regressions.

BMC Family Practice

Individual growth models using multilevel analysis will be used to estimate the efficacy of the intervention for reducing care-resistant behaviors in persons with dementia, and to estimate the overall efficacy of the intervention using oral health outcomes.

BMC Oral Health

Individual growth models using multilevel analysis will be used to estimate the efficacy of the intervention for reducing CRBs in persons with dementia, and to estimate the overall efficacy of the intervention using oral health outcomes.

BMC Oral Health

To account for possible dependence of the outcomes within the clusters of four patients who were randomized together, a random intercept term for these patient clusters was included in all models, using multilevel analyses (SPSS mixed linear).

BMC Musculoskeletal Disorders

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

Time to first PPH episode will be modelled using multilevel Cox (proportional hazards) regression analysis.

BMJ Open

All other outcomes will be modelled using multilevel Poisson regression, applying transformations to continuous variables as appropriate.

BMJ Open

The relationship between BP trajectories and all-cause mortality was modeled using multilevel mixed-effects linear regression.

Diabetes Care

The binomial outcome of 'eating at least 5 fruits or vegetables' is modelled using multilevel logistic regression with random intercept using PROC GLIMMIX in SAS 9.3.

BMJ Open

Anthropometric Z-scores were modelled using multilevel models with a random intercept and random slopes before and after G2/B2 (unstructured correlation matrix), using age as the underlying time-scale.

AIDS

Individual growth trajectories were modelled using multilevel models (two levels: measurement occasion and individual) in the statistical package MLwiN, 27 using fractional polynomials to identify the best-fitting curves.

BMJ Open

Expert writing Tips

Best practice

When describing statistical analyses, specify the software used (e.g., SPSS, R, MLwiN) to enhance reproducibility and transparency.

Common error

Avoid assuming that "models using multilevel" are always appropriate without verifying that the data meet the assumptions of multilevel modeling, such as independence of errors within groups.

Linguistic Context

The phrase "models using multilevel" functions primarily as a descriptor in academic and scientific contexts. It indicates that statistical models are being constructed or applied that incorporate multilevel modeling techniques. As Ludwig AI suggests, this expression is correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "models using multilevel" is a grammatically correct and technically specific term predominantly used in scientific literature. As Ludwig AI confirms, it's a valid expression for describing statistical models that incorporate hierarchical data structures. While not exceedingly common, its usage is consistent within its domain. When employing this phrase, ensure the context aligns with academic or scientific discussions, and that you've verified assumptions of multilevel modeling for your data. Consider alternatives like "multilevel modeling approaches" or "hierarchical models" to add variety to your writing while maintaining precision.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

multilevel modeling approaches

This alternative replaces "models using" with "modeling approaches", emphasizing the methodology.

multilevel analysis techniques

This focuses on the analytical aspect, substituting "models" with "analysis techniques".

hierarchical models

This uses a synonymous term, "hierarchical", for "multilevel", highlighting the data structure.

models with multilevel structures

This rephrases to emphasize the structure of the models themselves.

multilevel statistical models

This adds "statistical" to clarify the type of models being used.

mixed-effects models

This uses a related modeling approach that shares similarities with multilevel modeling.

nested models

This focuses on the 'nested' structure often associated with multilevel data.

data analysis using multilevel methods

This restructures the sentence to highlight the data analysis process.

multilevel regression models

This specifies the type of model often used in multilevel analysis.

application of multilevel modelling

This focuses on the application of multilevel modelling.

FAQs

What does "models using multilevel" mean in research?

In research, "models using multilevel" refers to statistical models that account for hierarchical or nested data structures, such as students within schools or patients within hospitals. These models allow researchers to examine the influence of factors at different levels of the hierarchy.

When should I use "models using multilevel"?

You should use "models using multilevel" when your data has a hierarchical structure and you suspect that observations within the same group are more similar to each other than observations in different groups. Ignoring this structure can lead to biased results.

What are some alternatives to saying "models using multilevel"?

Some alternatives include "multilevel modeling approaches", "hierarchical models", or "mixed-effects models" depending on the specific context and nuance you want to convey.

How do "models using multilevel" differ from single-level models?

"Models using multilevel" differ from single-level models by explicitly modeling the variance at each level of the hierarchy. This allows for more accurate estimation of effects and standard errors, especially when there is significant clustering in the data.