Basic Statistics and Pharmaceutical Statistical Applications, Second Edition

The first edition of Basic Statistics and Pharmaceutical Statistical Applications successfully provided a practical, easy-to-read, basic statistics book. This second edition not only updates the previous edition, but expands coverage in the area of biostatistics and how it relates to real-world professional practice. Taking you on a roller coaster ride through the world of statistics, Dr. De Muth clearly details the methodology necessary to summarize data and make informed decisions about observed outcomes.

What's new or different in the Second Edition?

New chapters cover:

• Measures of association primarily with nominal and ordinal data and and more than 15 tests
• Survival statistics including actuarial analysis and an introduction to multiple regression with survival data using proportional hazards regression
• An introduction to the topic of evidence-based practice with discussions of sensitivity and specificity, predictive values, and likelihood ratios
• Odds ratios and relative risk ratios that provide valuable information for dealing with probability, odds, and risk
• New sections address
  Power and sample size determination for two-sample Z-tests of proportions
• Clinical equivalence and noninferiority studies, process capability, and tolerance limits
• Methods for assessing repeatability and reproducibility
  

Expanded information includes:

• Chi square, repeated measures designs, Latin Square designs, nine multiple comparison tests, and outlier testing
• Inverse prediction with linear regression, handling of multiple data points at different levels of independent variable, and assessment of parallelism of slopes for two samples
• Additional types of bivariate correlations and various assessments for independence and randomness
• More nonparametric tests including new information on post hoc comparisons for a significant Kruskal-Wallis test, the Kolmogorov-Smirnov goodness-of-fit test, and the Anderson-Darling test, as well as runs and range tests
• Eight new tables useful for the interpretation of some of the new inferential statistics

De Muth provides concrete examples that enable you to effectively manage information in your day-to-day problem solving and reporting of findings. By avoiding heavy-duty mathematics and theory, even the mathematically challenged can benefit and increase their confidence in using statistics procedures.

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, Dean and Professor, University of Michigan College of Pharmacy

De Muth has written a book that is both elegant and simple...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...contains useful information that 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.