Pharmaceutical Statistics
First edition
David Jones - Chair of Biomaterial Science, School of Pharmacy, Queen's University of Belfast
Pharmaceutical Statistics is a new publication on basic statistics, specifically written for pharmacy students. It contains chapters on basic concepts such as types of data, graphical representation of data, distribution and standard deviation. More advanced, frequently used, statistical techniques such as ANOVA and the chi-squared test are also discussed using pharmaceutical examples. A series of questions and answers are also given for self-study.
Pharmaceutical Statistics is essential reading for all pharmacy students and will also be of interest to those working in the pharmaceutical industry.
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Reviews:
07-Jun-03, The Pharmaceutical Journal:
'...the book is a useful addition to the range of books available on pharmaceutical statistics.'
Alain Li Wan Po
01-May-03, Journal of Pharmacy and Pharmacology:
'This book is a welcome addition to the Pharmacy library...an undoubted strength of the book is its clarity in presentation...the book is highly recommended to any person interested in quantitative aspects of pharmacy...'
Prof. Mike Roberts, the Department of Medicine, Department of Practice and Policy, Princess Alexandra Hospital, The University of Queensland, Australia
01-Feb-03, Australian Pharmacist:
'Pharmaceutical Statistics is well thought out and well written, with a good layout that does not get bogged down with overly complex explanations.'
Henry Skupek, Program Support Coordinator, Australian College of Pharmacy Practice, Canberra
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Contents:
1. Basic Concepts and Definitions: 2. Measurement of Central Tendency and Variation of Data: 3. Presentation of Data: 4. Probability and Probability Distributions: 5. Statistical Hypothesis Testing: 6. Statistical Estimation Using Confidence Intervals: 7. One-sample Statistical Hypothesis Testing: 8. Statistical Hypothesis Testing For Two Independent Samples: 9. Statistical Hypothesis Testing For Two Related Samples: 10. Parametric Hypothesis Testing For Multiple Samples: 11. Non-parametric Hypothesis Testing For Multiple Samples: 12. Linear Regression and Correlation: Appendices 1-18:
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$39.99
ISBN: 978 0 85369 425 0
Publication Date:
April 2002
Paperback
234 x 156mm
608pp
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