Sentence examples for binary response model was from inspiring English sources

The Hosmer and Lemeshow goodness-of-fit test (Hosmer and Lemeshow 1989) for the case of a binary response model was performed for each model.

Binary response models are used in many real applications.

Some procedures to construct local MV- and SMV-optimum designs for binary response models are already available in the literature.

A class of binary response models is considered for describing the data on a response variable having two possible outcomes and q explanatory variables when the odds ratios on the response are a linear function of the explanatory variables.

The logistic response model was used to predict the probability associated with each value of the binary response [ 28].

It seems unlikely that this is solely the result of limitations associated with our analytical approach; while the predictive power of a binary response model may be low, phylogenetic regression constitutes a robust analytical approach for binary response variables [ 75].

By restructuring and expanding the dataset, the multilevel binary response model can be fitted using logistic regression, as in our study, or using other standard methods for discrete response data.

Further, logistic regression itself, though a widely accepted and successful methodology for binary response modelling, the logistic model is only one possible model for binary responses [ 22].

Multi-category response models are very important complements to binary logistic models in medical decision-making.

In binary response models no single VPC measure is available since the individual-level variance is a function of the mean.

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.