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Pharmaceutical statistics practical and clinical applications by Sanford Bolton

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Published by M. Dekker in New York .
Written in English

Subjects:

  • Pharmacy -- Statistical methods.,
  • Pharmacy -- Laboratory Manuals.,
  • Statistics -- Laboratory Manuals.

Book details:

Edition Notes

StatementSanford Bolton, Charles Bon.
GenreLaboratory Manuals.
SeriesDrugs and the pharmaceutical sciences -- 135.
ContributionsBon, Charles, 1949-
Classifications
LC ClassificationsRS57 .B65 2004, RS57 .B65 2004
The Physical Object
Paginationxiii, 755 p. :
Number of Pages755
ID Numbers
Open LibraryOL18207273M
ISBN 100824746953
LC Control Number2003066761

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Pharmaceutical Statistics () by David Jones is pages long and printed on high quality semi-glossy paper. The book excels in that it tends to disclose the theory behind the equations, rather than just the equations alone, and in that it provides a representative number of examples for each equation/5(3). This book on basic statistics has been specifically written for pharmacy students. Pharmaceutical Statistics contains chapters on basic concepts such as: types of data graphical representation of data distribution standard : Jones, David. We are pleased to welcome Andreas Krause to the Editorial team of Pharmaceutical Statistics. Andreas joins John Scott and Alan Phillips as one of three Editors-in-Chief working on the journal, succeeding Jorgen Seldrup whose contributions are greatly acknowledged. For more information, click here. The following is a list of the most cited. pharmaceutical statistics Download pharmaceutical statistics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get pharmaceutical statistics book now. This site is like a library, Use search box in the widget to get ebook that you want.

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.   The fourth edition of a bestselling text, this book covers the use of statistics in pharmaceutical research and clinical evaluation. It includes a /5(9). This book is an ideal overview of some of the many important issues arising in the pharmaceutical industry, and can be read as such. Students anticipating a career in pharmaceutical statistics will benefit particularly: these are topics that form the backbone of statistics in the industry but that are not generally taught as part of an M.S. or Ph.D. program. Pharmaceutical Statistics Journal Club. The Journal Club hosts quarterly 90 min teleconferences, open to PSI members and non-PSI members with no need to pre-register. Two papers are selected from Pharmaceutical Statistics and authors are invited to present their papers followed by .

This book presents the proceedings of the 39th annual Midwest Biopharmaceutical Statistics Workshop (MBSW), held in Muncie, Indiana on May 16–18, It consists of selected peer- reviewed and revised papers on topics ranging from statistical applications in drug discovery and CMC to biomarkers, clinical trials, and statistical programming. Book Description. Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and inferential statistics for problem solving.   In this data-driven age, studying statistics at A-level or beyond opens up a wide range of career options. One interesting area for statisticians to work in, which we recently had the chance to find out more about, is the pharmaceutical industry. How are new medical treatments tested? Before a new drug comes on the market it needs to be tested on people who have the condition. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text.