In case we know the relationship between the response and part of explanatory variables and do not know the relationship between the response and the other part of explanatory variables we use ...

Michael G. Akritas, On the Use of Nonparametric Regression Techniques for Fitting Parametric Regression Models, Biometrics, Vol. 52, No. 4 (Dec., 1996), pp. 1342-1362 ...

Recent advances in nonparametric regression for functional data have focused on enhancing estimator performance whilst addressing practical issues such as bandwidth selection and model adaptivity.

Nonparametric regression further improved calibration and discrimination compared with logistic regression. Conclusions: Despite the EHR lacking some risk factors and its imperfect data quality, ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...