This book takes the standard methods as the starting point, and then describes a wide range of relatively new approaches and procedures designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the computing requirements - facilities available in large computing packages like BMDP, SAS and SPSS are also described.
Table of Contents
1. Data, preliminary analyses and mechanistic models 2. Maximum-likelihood fitting of simple models 3. Extensions and alternatives 4. Extended models for quantal assay data 5. Describing time to response 6. Over-dispersion 7. Non-parametric and robust methods 8. Design and sequential methods
Morgan, Byron J.T.