Greenland S. Introduction to Regression Modeling. In: Rothman KJ, Greenland S, Lash TL, eds. Modern Epidemiology. 3rd ed. Philadelphia: Lippincott, Williams, & Wilkins; 2008:418-458.Abraham, B. and J. Ledolter,
Introduction to regression modeling. In: Rothman KJ, Greenland S, eds. Modern Epidemiology, 2nd ed. Philadelphia: Lippincott Williams and Wilkins; 1998. p. 395 - 6.Abraham, B., and Ledolter, J., 2006. Introduction to Regression Modeling, 1 st ed., Belmont CA: Thomson Brooks/Cole....
Looking for an easy-to-understand text to guide you through the tough topic of regression modeling? INTRODUCTION TO REGRESSION MODELING (WITH CD-ROM) offers a blend of theory and regression applications and will give you the practice you need to tackle this subject through exercises, case studies...
The term "mixed modeling" is used here to refer to linear models that have both fixed and random effects. The preface provides an excellent summary of the basic concepts of a mixed model, and how these models form a natural extension of regression and analysis of variance techniques. The ...
Simple Logistic Regression Modeling Start Chapter Learn to fit logistic regression models. Using real-world data, you’ll predict the likelihood of a customer closing their bank account as probabilities of success and odds ratios, and quantify model performance using confusion matrices. ...
These pages provide supporting material for the textbook Multiple Regression and Beyond: An Introduction to Multiple Regression and Structural Equation Modeling
Researchers are often interested in setting up a model to analyze the relationship between some predictors (i.e., independent variables) and a response (i.e., dependent variable). Linear regression is commonly used when the response variable is continuous. One assumption of linear models is that...
Illustrating all of the major procedures employed by the contemporary software packages MINITAB(r), SAS(r), and S-PLUS(r), the Fourth Edition begins with a general introduction to regression modeling, including typical applications. A host of technical tools are outlined, such as basic inference...
Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how ...
How simple linear (least squares) regression works Dave Brueckman, Frankenmuth Insurance "Highly recommend this course for those seeking a basic understanding of GLM modeling. I found this particularly good in recapping the key points in developing a multivariate class plan model." ...