Front Cover; Contents; Preface; 1. Review of Topics in Probability and Statistics; 2. Use of Simulation Techniques; 3. The Central Limit Theorem; 4. Correlation and Regression; 5. Analysis of Variance; 6. Discrete Measures of Risk; 7. Multivariate Analysis; 8. Analysis of Repeated Measures Data; 9. Nonparametric Methods; 10. Analysis of Time to Event Data; 11. Sample size and Power Calculations; 12. Appendix A: Using SAS; 13. Appendix B: Using R; 14. References
Summary
""The book presents important topics in biostatistics alongside examples provided in the programming languages SAS and R. ... The book covers many relevant topics every student should know in a way that it makes it easy to follow ... each chapter provides exercises encouraging the reader to deepen her/his understanding. I really like that the theory is presented in a clear manner without interruptions of example programs. Instead, the programs are always presented at the end of a section. ... this book can serve as a good start for the more statistics inclined students who haven't yet recognized tha
Bibliography
Includes bibliographical references (p. 293-301) and index
