Your English writing platform
Discover LudwigSuggestions(5)
Exact(49)
Optimal design problems for logistic mixed effects models for binary longitudinal responses are considered.
The DEM results were fitted by three empirical models for binary mixture.
The course begins with a review of linear models for continuous responses and then considers logistic regression models for binary data and log-linear models for count data, including rates and contingency tables and hazard models for duration data.
We introduce scaled density models for binary response data which can be much more reasonable than the traditional binary response models for particular types of binary response data.
For the dependent variable, self-rated health, we used multilevel models for binary responses.
Three common IRT models for binary data are the one, two and three parameter logistic models.
Similar(10)
Guo, G. & Zhao, H. Multilevel modeling for binary data.
In this way, the bivariate MANOVA analysis is carried out on the liability scale, on partially overlapping sample, without sophisticated bivariate modelling for binary data.
This paper introduces a Bayesian semi-supervised support vector machine (Semi-BSVM) model for binary classification.
A computer model for binary cycle is presented in this paper.
In this study, a transient biofilter model for binary volatile organic compound (VOC) mixture is developed.
More suggestions(15)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com