Table of Contents

Introduction. Probability. Sampling. Presentation Modes. Measures of Central Tendency. The Normal Distribution and Data Transformation. Confidence Intervals and Tolerance Limits. Hypothesis Testing. T-Tests. One-Way Analysis of Variance. Multiple Comparison Tests. Factorial Designs: An Introduction. Correlation. Linear Regression. Z-Tests of Proportions. Chi Square Tests. Measures of Association. Odds Ratios and Relative Risk Ratios. Evidence Based Practice: An Introduction. Survival Statistics. Nonparametric Tests. Statistical Tests for Equivalence. Outlier Tests. Statistical Errors in the Literature. Appendices. Index.

About the Author

James E. De Muth

Reviews

"The book’s coverage … is immense and very impressive. The book also well describes introductory statistics, and coverage of normal outcomes was exemplary. The multiple comparisons and nonparametric statistics chapters in particular were outstanding. The third edition has made notable improvements over the second edition in several chapters; there are too many to describe here. … very well written and easy to read. … very useful and unique reading, given its wide practical coverage and the approaches taken. I have added this book to my go-to reference sources … a very good teaching introduction to statistics for undergraduate and graduate students … This book may be most useful for persons involved in preclinical and Phase 1 studies where standard normal, binomial, and nonparametric methods are used."
—Journal of Biopharmaceutical Statistics, 2015Praise for the Second Edition:"Dr. De Muth writes clearly about a very complex subject … The second edition has been expanded and is an even more comprehensive description of the statistics used within the pharmaceutical industry and the health care system. … a very useful reference tool for the pharmaceutical scientist and clinician…"
—Frank J. Ascione, University of Michigan College of Pharmacy"De Muth has written a book that is both elegant and simple … [it] enables the reader to clearly understand how to appropriately use statistics in designing studies and just as importantly determine when statistics should not be used … an excellent reference book that will enable the non-statistician to appropriately use statistical approaches … A unique attribute of this statistical textbook is the acknowledgement of how statistical tests can be misused … useful information helps the non-statistician avoid some of the common errors that are made when using statistical approaches in the analysis of data."
—Mark N. Milton, Millennium Pharmaceuticals, Inc."The book is laid out well, and the organization follows an intuitive path, beginning with an introduction to statistics that is appropriate for entry-level students. I found the appendix that focuses on statistical errors commonly encountered in the literature particularly enlightening. In summary, this book is an excellent choice for beginning or intermediate researchers interested in designing, implementing, and reporting statistically sound studies."
—Dawn Boothe, DVM, PhD, DACVIM, DACVCP, Auburn University, Auburn, Alabama, Journal of the American Veterinary Medical Association, March 2015