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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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model with binomial distribution

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "model with binomial distribution" is correct and usable in written English.
It can be used in statistical contexts when discussing a model that describes the number of successes in a fixed number of independent Bernoulli trials. Example: "In our analysis, we will use a model with binomial distribution to predict the likelihood of success in the experiment."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

To investigate the effect of climate and human population variables on Ae. albopictus egg presence, we performed model building with multiple logistic regressions (Generalized linear model with binomial distribution and logit link).

Science

Plosone

This is a generalized linear model with binomial distribution family and identity link function [ 32].

For case fatality, we estimated the average annual percentage changes using generalised linear model with binomial distribution and a log link function.

The antibody prevalence of 13.5% found at Gruissan (34 of 252 eggs) was comparable with the 14.5% found at Villeneuve (31 of 214 eggs) (generalized linear model with binomial distribution, z = 0.4, p = 0.8).

Time trends in the proportion and incidence of HER-2-positive tumors were analyzed by regression methods, using a generalized linear model with binomial distribution and logarithmic link function and incidence trendswith Poisson regression, both in Stata 8.0 (StataCorp, College Station, Tx, USA).

The data were analyzed using the generalized linear model with binomial distribution to evaluate the significance of ambient temperature, relative humidity, light intensity, date, and sex as predictors in a single model on the incidence of take-off by H. halys (i.e., binomial response variables) (JMP 11, SAS Institute, SAS Institute Inc., Cary, NC, USA).

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

Generalized estimating equation (GEE) models with binomial distribution were used in the second approach, because they take the dependence observed between two values within a patient into account.

Finally, the odds ratios of agreement by age, gender, race, education and cognition as measured with the MMSE were estimated using generalized linear models with binomial distribution and logit link.

Generalised linear models with binomial distribution, log link function and robust standard errors were used to determine the association between medical card status and statin utilisation in the three groups at high risk of CVD mortality, adjusting for age, sex, level of education and frequency of GP visits.

Science

BMJ Open

We estimate the beta coefficients using a generalized linear model (GLM) with binomial distribution and identity link, which is the linear probability model.

To test the effect of treatment, year, population and maternal symmetry on the proportion of anomalous hatchlings, and the proportion of eggs that hatched, we used a Generalized Linear Model (GLM) with binomial distribution and logit link.

Science

Plosone
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Expert writing Tips

Best practice

When describing statistical analyses, clearly define the type of model and its distribution to ensure clarity and reproducibility. Using "model with binomial distribution" is appropriate, but consider "binomial model" for brevity when the context is already clear.

Common error

Ensure you are using the "model with binomial distribution" appropriately for binary outcomes or data representing the number of successes in a fixed number of trials. Avoid using it when the data follows a different distribution, such as Poisson for count data or normal for continuous data. Misapplication can lead to incorrect conclusions.

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

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "model with binomial distribution" functions as a descriptive term in statistics, specifying a particular type of statistical model used for analyzing data that follows a binomial distribution. This is supported by Ludwig's examples, showcasing its use in scientific contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "model with binomial distribution" is a grammatically correct and useful phrase in scientific writing to describe statistical models used for analyzing data with binary outcomes or count data. Ludwig AI confirms its proper usage. While the phrase is relatively uncommon, its usage is concentrated in scientific and academic contexts. For brevity, consider using "binomial model" when the context is clear. Ensure correct application by distinguishing it from other distributions like Poisson or Normal based on data type.

FAQs

How is "model with binomial distribution" used in a sentence?

You can use "model with binomial distribution" to describe statistical analyses where the outcome is binary or represents the number of successes in a fixed number of trials. For instance, "We used a "model with binomial distribution" to analyze the probability of success in each trial".

What are some alternatives to "model with binomial distribution"?

Alternatives include "binomial model", "binomial distribution model", or "model using binomial distribution", depending on the level of detail required.

When should I use "model with binomial distribution" versus a Poisson model?

Use "model with binomial distribution" when your data represents the number of successes in a fixed number of trials. Use a Poisson model for count data, where you're modeling the number of events occurring within a certain period or location.

What is the difference between "model with binomial distribution" and "model with normal distribution"?

A "model with binomial distribution" is used for discrete data representing binary outcomes or success counts, while a "model with normal distribution" is used for continuous data that are approximately normally distributed. The choice depends on the nature of your data.

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Source & Trust

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Authority and reliability

4.1/5

Expert rating

Real-world application tested

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