David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

GIS Analysis is a useful tool for transportation policy, and this piece applies the GIS-analysis model to railroad grade ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

QA expert Daniil Khudenko explains how structured quality systems improve release stability, risk management, and scalability ...

The course introduces various regression models commonly used in health sciences. The presentation begins with linear regression, where the inclusion of multiple covariates, interaction, and ...

Regression warnings keep piling up on the Bears, but Ben Johnson's track record and Year 2 comfort in his offense may be Chicago's biggest edge. Regression continues to be the theme dominating ...

Abstract: Functional data analysis (FDA) in which each data sample is a function rather than a vector or a matrix has attracted a lot of attention in the statistics community in recent years. However, ...

What Is the Linear Regression Curve? The Linear Regression Curve plots a line that best fits the prices specified over a user-defined time period. Think of the Linear Regression Curve as numerous ...

A secondary analysis 1 of a study designated “Integrating Palliative and Critical Care,” a cluster randomized trial, was conducted to explore differences in receipt of elements of palliative care ...

Study objective: In social epidemiology, it is easy to compute and interpret measures of variation in multilevel linear regression, but technical difficulties exist in the case of logistic regression.

corHuber(): Robust correlation based on winsorization. winsorize(): Winsorization of the data. robStandardize(): Robust standardization of the data with given functions for computing center and scale.