Statistical Modeling for Biomedical Researchers

Wiliam D. Dupont is Professor of Biostatistics and Preventive Medicine at the Vanderbilt University School of Medicine, Nashville, Tennessee.

• Preface; 1. Introduction; 2. Simple linear regression; 3. Multiple linear regression; 4. Simple logistic regression; 5. Multiple logistic regression; 6. Introduction to survival analysis; 7. Hazard regression analysis; 8. Introduction to Poisson regression; 9. Multiple Poisson regression; 10. Fixed effects analysis of variance; 11. Repeated-measures analysis of variance; Appendix A. Summary of statistical models discussed in this text; Appendix B. Summary of Stata commands used in this text; References.

'This is a welcome second edition of Dupont's book. It incorporates the changes in the STATA 10 command language that are designed to have a more uniform format across models. It also teaches how to look at the data with graphs, a very important part of teaching statistical data analysis to non-statisticians (and biostatistics graduate students!). This is one of the strengths of STATA and it is good to make use of it in a text. The topics are comprehensive and well developed. Moreover, this book will never get hidden on your desk or bookshelf. The shocking pink cover makes it stand out from almost any other book I have.' Teaching of Statistics in the Health Sciences