We consider the linear regression of outcome Y on regressors W and Z with some values of W missing, when our main interest is the effect of Z on Y, controlling for W. Three common approaches to ...

Abstract: Linear ECG-lead transformations estimate or derive unrecorded target leads by applying a number of recorded basis leads to a so-called linear ECG-lead transformation matrix. The inverse ...

#' @param event \code{n x 1} numeric vector of status indicators of #' whether an event was observed. #' @param X \code{n x p} data.frame of observed covariate values #' @param newX \code{m x p} ...

This project explores different techniques for implementing linear regression models in Python. The goal is to provide a clear, educational comparison of the various methods that can be used for ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

“The statistician knows...that in nature there never was a normal distribution, there never was a straight line, yet with normal and linear assumptions, known to be false, he can often derive results ...