Completely revised and updated, Pharmaceutical Experimental Design and Interpretation, Second Edition explains the major methods of experimental design and evaluation such as multivariate, sequential, and principal components analysis. With new sections on neural networks, artificial intelligence, fractional designs, and optimization techniques, this source will prove invaluable to anyone involved in the design and execution of pharmaceutical research studies and the interpretation of study data.
Introduction to Experimental Design. Comparison of Mean Values. Non-parametric Treatments. Correlation and Regression. Multivariate Methods. Cluster and Discrimination Analysis. Principal Components and Factor Analysis. Sequential Analysis. Factorial Design of Experiments. Model-dependent Optimization and Response Surface Methodology. Model-independent Optimization. Experimental Designs for Mixtures Appendix 1: Statistical Tables. Appendix 2: Computer Programs in BASIC and MINITAB Commands. Appendix 3: Sequential Analysis Grids. Appendix 4: Matrices