Primer of Applied Regression & Analysis of Variance

Stanton Glantz is Professor of Medicine and Director of the Center for Tobacco Control Research and Education at the University of California San Francisco, where he conducts research on tobacco control and cardiology. He is author or co-author of over 300 scientific papers and nine books in addition to Primer of Biostatistics, 7th ed. (McGraw-Hill, 2012) and Primer of Applied Regression & Analysis of Variance, 2nd ed. (McGraw-Hill, 2001). He wrote the first major review (published in Circulation) which identified involuntary smoking as a cause of heart disease, and the landmark July 19, 1995 issue of JAMA on the Brown and Williamson documents, which showed that the tobacco industry knew 30 years ago that nicotine is addictive and that smoking causes cancer. His work has attracted considerable attention from the tobacco industry, which has sued the University of California twice (unsuccessfully) in an effort to stop Professor Glantz's work.

Why Do Multivariate Analysis?. The First Step: Understanding Simple Linear Regression. Regression With Two or More Independent Variables. Do the Data Fit the Assumptions?. Multicollinearity and What to Do About It. Selecting the "Best" Regression Model. One-Way Analysis of Variance. Two-Way Analysis of Variance. Repeated Measures. Mixing Continuous and Categorical Variables: Analysis of Covariance. Nonlinear Regression. Regression With a Qualitative Dependent Variable. APPENDIX A. A Brief Introduction to Matrices and Vectors. APPENDIX B. Statistical Package Cookbook. APPENDIX C. Data for Examples. APPENDIX D. Data for Problems. APPENDIX E. Statistical Tables. APPENDIX F. Solutions to Problems.