Peter Frase, opens new tab uses the controversy to rail against non-academic econobloggers, or “wonks”, who parrot the findings of academics: Zach Beauchamp, opens new tab echoes Frase’s ...

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the ...

The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced course requiring some knowledge of basic probability, regression methods, and the R ...

Ming-Yen Cheng, Hau-Tieng Wu, Local Linear Regression on Manifolds and Its Geometric Interpretation, Journal of the American Statistical Association, Vol. 108, No. 504 (December 2013), pp. 1421-1434 ...

Sliced inverse regression (SIR) and an associated chi-squared test for dimension have been introduced as a method for reducing the dimension of regression problems whose predictor variables are normal ...

I predict you'll find this logistic regression example with R to be helpful for gleaning useful information from common binary classification problems.