ch. 1. Introduction -- ch. 2. Basic principles -- ch. 3. Experimental design -- ch. 4. Computational devices and software -- ch. 5. Methods for data preparation and exploration -- ch. 6. Nonparametric hypothesis testing of categorical and ranked data -- ch. 7. Hypothesis testing : univariate parametric tests -- ch. 8. Modeling and extrapolation -- ch. 9. Trend analysis -- ch. 10. Methods for the reduction of dimensionality -- ch. 11. Multivariate methods -- ch. 12. Meta-analysis -- ch. 13. Bayesian analysis -- ch. 14. Data analysis applications in toxicology -- ch. 15. Carcinogenesis -- ch. 16. Risk assessment and low-dose extrapolation -- ch. 17. Epidemiology -- ch. 18. Structure activity relationships -- ch. 19. good laboratory practices -- ch. 20. Areas of controversy in statistics as used for toxicology.