Statistics and Experimental Design for Toxicologists and Pharmacologists
S.B. Gad · 2005
Introduction Basic Principles Experimental Design Computational Devices and Software Methods for Data Preparation and Exploration Nonparametric Hypothesis Testing of Categorical and Ranked Data Hypothesis Testing: Univariate Parametric Tests Modeling and Extrapolation Trend Analysis Methods for Reduction of Dimensionality Multivariate Methods Meta Analysis Bayesian Analysis Data Analysis Applications in Toxicology Carcinogenesis Risk Assessment and Low Dose Extrapolation Epidemiology Structure Activity Relationships Good Laboratory Practices Areas of Controversy in Statistics as Used for Toxicology Appendix 1: Tables Appendix 2: Definition of Terms Appendix 3: Greek Alphabet, Abbreviations, and Symbols Appendix 4: Practice Problems and Solutions Index