This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

Course TopicsThis short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or more explanatory variables. The ...

PresenterElizabeth Prom-WormleyDate first presentedJune 2022 Virtual WorkshopContentThis video will introduce students to twin modeling using R and OpenMx. By the end of the video, students will be ...

Regression is probably most explicit example of a statistical model. The regression model provides both a systematic component (y = a + bx) and a random component (errors). Independent sample t-tests ...

D C Montgomery, E A Peck & G G Vining, Introduction to Linear Regression Analysis; D C Montgomery, Design and Analysis of Experiments; A J Dobson, An Introduction to Generalised Linear Models; P ...

This post will show how to estimate and interpret linear regression models with survey data using R. We’ll use data taken from a Pew Research Center 2016 post-election survey, and you can download the ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

Bell, David E. "Introduction to Regression Analysis with Lotus 1-2-3 and Regress." Harvard Business School Case 189-110, November 1988. (Revised June 1989 ...

D C Montgomery, E A Peck & G G Vining, Introduction to Linear Regression Analysis; D C Montgomery, Design and Analysis of Experiments; A J Dobson, An Introduction to Generalised Linear Models; P ...