Roderick J. A. Little, Regression With Missing X's: A Review, Journal of the American Statistical Association, Vol. 87, No. 420 (Dec., 1992), pp. 1227-1237 ...

The authors show how to test the goodness-of-fit of a linear regression model when there are missing data in the response variable. Their statistics are based on the L₂ distance between nonparametric ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

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 ...

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, ...

Specifically, I’ll be using simulation in R as an educational tool to help you better understand the ways in which regressions can break. Using simulations to unpack regression The idea of using R ...