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Basic Statistics and Pharmaceutical Statistical Applications (Pharmacy Education Series), by James E. De Muth
Free PDF Basic Statistics and Pharmaceutical Statistical Applications (Pharmacy Education Series), by James E. De Muth
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This extremely pragmatic and accessible reference provides scientists with a basic knowledge of statistics-focusing on the practical applications of statistical methods to research, quality control, and data analysis. Basic Statistics and Pharmaceutical Statistical Applications explores types of variables, random sampling, probability, measures of central tendency, and hypothesis (or significance) testing, discusses regression analysis, nonparametric tests, and power determination, and examines study designs, confidence intervals, dissolution testing, and bioequivalence. The author also describes the interrelation of hypotheses, test statistics, decision rules, computations, and statistical decisions and addresses testing factors such as precision, accuracy, bias, sensitivity, and selectivity
Featuring almost 500 equations, tables, drawings, and references, Basic Statistics and Pharmaceutical Statistical Applications is required reading for pharmacists, analytical chemists, clinical trial monitors, medical writers, and upper-level undergraduate and graduate students in these disciplines.
- Sales Rank: #999062 in Books
- Brand: Brand: CRC Press
- Published on: 1999-06-18
- Original language: English
- Number of items: 1
- Dimensions: 9.50" h x 6.50" w x 1.25" l, 1.10 pounds
- Binding: Hardcover
- 624 pages
- Used Book in Good Condition
Review
"...provides a competent introduction to statistical methods and they will find the descriptions easy to follow." -- Biometrics, 2000
About the Author
De Muth; James Univeristy of Wisconsin, Madison, USA,
Most helpful customer reviews
2 of 5 people found the following review helpful.
Adventures in Pharmaceutical Statistics
By Tina Snyder
As the cover of the text would indicate, James DeMuth's "Basic Statistics and Pharmaceutical Statistical Applications" sends the reader on a roller coaster ride through the intriguing world of statitics. In this edition, Dr. Demuth astutely details the methodology necessary to summarize data and make informed decisions about observed outcomes. More importantly though, he provides concrete examples which enable the reader to effectively deploy the information in their day-to-day lives. This edition, undoubtedly the first of many more to come, should prove to be an invaluable resource for students, practicing pharmacists and industrial scientists alike.
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