Basic definitions and concepts -- Data graphics -- Introduction to probability : the binomial and normal probability distributions -- Choosing samples -- Statistical inference : estimation and hypothesis testing -- Sample size and power -- Linear regression and correlation -- Analysis of variance -- Factorial designs -- Transformations and outliers -- Experimental design in clinical trials -- Quality control -- Validation -- Computer-intensive methods -- Nonparametric methods -- Optimization techniques and screening designs.
Note
Description based on print version record.
Summary
Provides the most complete and comprehensive guide to the various statistical applications and research issues in the pharmaceutical industry