Sentence examples for more general regression from inspiring English sources
This controlled environment gives the possibility to define oracular notions of regularization and to experiment new methodologies for predicting the regularization parameter that can be extended to the more general regression case.
This method is applicable to the dental pain trial but does not extend easily to a more general regression situation.
Clearly, embedding the beta distribution within a more general regression modelling framework has enhanced its uptake in applied research settings.
In 2004, Carstensen described more general regression and variance component methods for the analysis of such data [ 8].
It is now possible to resort to more general regression models, adopting suitable link functions and pseudo values for estimation, to obtain alternative measures of effect directly from regression coefficients together with their confidence interval.
In this study, a more general single-index regression model was presented to characterize the relationship between a dichotomous response and covariates of interest.
Recent developments by Paulino [ 3], Ferrari and Cribrari-Neto [ 4], Smithson and Verkuilen [ 5] and others have resulted in a more general purpose beta regression machinery.
A more general spatial Cox regression model, according to Hennerfeind et al 20 which captures a wide range of issues including spatial frailties was adapted and applied to determine factors associated with the risk of early childhood mortality.
The following results also have links to those of Hernán et al. (12), who considered the issue of selection bias from a causal diagram perspective, although for the most part they considered a setting more general than the logistic regression setting considered here; the symmetry of the logistic link means that some results that hold for logistic regression do not apply in general.
A much more general and powerful family of regression techniques is obtained by considering trees of individual regression models.
Our method can be also applied to more general models such as generalized linear models, including linear regression and other non-linear regression models with some modification.
