Primer of biostatistics
Stanton A. Glantz
Abstract
Preface 1. Biostatistics and Clinical Practice 2. How to Summarize Data 3. How to Test for Differences between Groups 4. The Special Case of Two Groups: The t test 5. How to Analyze Rates and Proportions 6. What Does Not Significant Really Mean? 7. Confidence Intervals 8. How to Test for Trends 9. Experiments When Each Subject Receives More Than One Treatment 10. Alternatives to Analysis of Variance and the t test Based on Ranks 11. How to Analyze Survival Data 12. What Do the Data Really Show? Appendix A: Computational Forms Appendix B: Statistical Tables and Power Charts Appendix C: Answers to Exercises Index
Concepts
BiostatisticsStatisticsTest (biology)Confidence intervalStatistical hypothesis testingSubject (documents)Variance (accounting)Multiple comparisons problem