Joel L. Horowitz, Bootstrap Methods for Median Regression Models, Econometrica, Vol. 66, No. 6 (Nov., 1998), pp. 1327-1351 Free online reading for over 10 million articles Save and organize content ...

Richard R. Picard, R. Dennis Cook, Cross-Validation of Regression Models, Journal of the American Statistical Association, Vol. 79, No. 387 (Sep., 1984), pp. 575-583 Free online reading for over 10 ...

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

Regression is a method to estimate parameters in mathematical models of biological systems from experimental data. To ensure the validity of a model for a given data set, pre-regression and post ...

Duration: 12h. 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 ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Table 2 Model regression coefficients (β) with their standard errors (s.e.) for models fitted for self-reported and measured weights and heights for NHANES 1999–2006 Full size table ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...