Primer of Biostatistics 6/e Valuepack (Book and CDROM)

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.

Summary of Some Statistical Methods to Test HypothesesLocation of Tables for Tests of SignificancePreface1. Biostatistics and Clinical Practice2. How to Summarize Data3. How to Test for Differences Between Groups4. The Special Case of Two Groups: The t Test5. How to Analyze Rates an Proportions6. What Does “Not Significant” Really Mean?7. Confidence Intervals8. How to Test for Trends9. Experiments When Each Subject Receives More than One Treatment10. Alternatives to Analysis of Variance and the t Test Based on Ranks11. How to Analyze Survival Data12. What Do the Data Really Show?Index