Sentence examples for binary response can be from inspiring English sources
The binary response can be modeled by a generalized linear model with the complementary log log link function.
The response can be binary outcomes, such as "response" or "not-response", or continuous outcomes, such as disease-free survival time.
The response can be continuous (censored or not) or categorical (either binary or ordinal).
The impulse responses can be exactly expressed as fixed point binary values.
Mr. Hoffman's responses can be read here.
Three responses can be distinguished.
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.
Using equations (1) and (2), the family of asymmetric transformations for univariate binary response data can be written as log{[ 1- π)- λ -1]/ λ} = X'β (3) Using simple calculations, one can show that for λ = 1 equation (3) reduces to the ordinary logistic model, while for λ→0 the complementary log-log model is obtained.
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.
Assuming no interaction, responses to binary mixtures can be interpolated along the dose response curves of the single components, sometimes misleadingly referred to as "linear summation".
