Essential Elements and Statistical Terms.- Descriptive Statistics and Univariate Analysis.- Statistical Inference and Making Estimates of the Truth.- Dealing with Inherent Statistical Error.- Multivariate Analysis - Tests to Identify Differences.- Multivariate Analysis - Tests to Evaluate Relationships.- Tests to Identify Similarities.-Tests to Evaluate Potential Outliers.- Appendices 1-4.
JAMES E. De MUTH, PhD, RPh is an Emeritus professor ,School of Pharmacy at the University of Wisconsin-Madison. He received the BS in Pharmacy degree from Drake University and the MS and PhD degrees in Pharmacy Continuing Education from the University of Wisconsin-Madison. His primary responsibilities were the development, implementation and evaluation (relying heavily on statistical methodology) of continuing education offerings for individuals in the pharmaceutical industry and pharmacists within the United States. Dr. De Muth has authored over 50 research articles in the pharmacy and adult education literature. He has taught over 175 statistical short courses in the United States, Brazil, Canada, China, India, Puerto Rico, Western Europe and the Middle East. Dr. De Muth received the Rufus A. Lyman Award for most notable original research and/or scholarly work published in the American Journal of Pharmaceutical Education, William A. Blockstein Award from the American Association of Colleges of Pharmacy for contributions to the field of continuing pharmaceutical education and Drake University College of Pharmacy and Health Sciences Alumni Achievement Award. For over 20 years he served on the Institutional Review Board of Covance Laboratories in Madison. He served as the chair of the Biostatistics Expert Committee , General Chapters Expert Committee and is currently chair of General Chapters Dosage Forms Expert Committee for the United States Pharmacopeia. In USP recognized the work of the General Chapters Expert Committee with its first Award for Outstanding Contributions to the USP Standard Setting Process.
This is an introductory statistics book designed to provide scientists with practical information needed to apply the most common statistical tests to laboratory research data. The book is designed to be practical and applicable, so only minimal information is devoted to theory or equations. Emphasis is placed on the underlying principles for effective data analysis and survey the statistical tests. It is of special value for scientists who have access to Minitab software. Examples are provides for all the statistical tests and explanation of the interpretation of these results presented with Minitab (similar to results for any common software package).
Practical Statistics for Pharmaceutical Analysis is specifically designed to contribute to the AAPS series on advances in the pharmaceutical sciences. It benefits professional scientists or graduate students who have not had a formal statistics class, who had bad experiences in such classes, or who just fear/don’t understand statistics.