Pharmaceutical Statistics: Practical and Clinical Applications.

Abstract

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 andcorrelation 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.Appendices: some properties of the variance comparison of slopes and testing of linearity - determination of relative potency multiple regression tables outlier tests and chemical assays should a single unexplained failing assay be reason to reject abatch answers to exercises.