1. Foundations of biostatistics -- 2. Descriptive methods -- 3. Probability -- 4. Introduction to inference and one sample methods -- 5. Paired samples methods -- 6. Two independent samples methods -- 7. Multi-sample methods -- 8. The assessment of relationships -- 9. Linear regression -- 10. Methods based on the permutation principle -- App. A. Normal curve table -- App. B. Critical values of student's distribution -- App. C. Critical values of the F distribution -- App. D. Critical values of the chi-square distribution -- App. E. Critical values of q for Tukey's HSD test -- App. F. Critical values of the rank correlation coefficient -- App. G. Critical values for Wilcoxon's signed-ranks test -- App. H. Critical values for Wilcoxon's rank-sum test -- App. I. Critical values for the Kruskal-Wallis test.

This book provides a solid foundation in introductory biostatistics with up-to-date methods, lucid explanations, and a modern approach. Explains commonly used biostatistical methods, such as odds and risk ratios, and Fisher's exact test, in a clear and thorough manner. Introduces equivalence testing in a variety of research settings. Presents nonparametric methods in a modern light, couched in the broader context of permutation-based methods. Provides real-world data with case studies consisting of synopses of published research. Provides step-by-step solutions to exercises, along with pertinent equations used in obtaining the solution and page numbers of relevant discussions.