Drug Synergism and Dose-Effect Data Analysis (Hardcover)

~ (Author) "A drug or other chemical may produce multiple effects in the system with which it interacts..." (more)
Key Phrases: isobole method, additive total dose, specified effect level, Dose Log, Life Sci, New York (more...)

Editorial Reviews

Review

This is a well-organized, practical guide for the analysis of drug interactions and contains the historical and statistical information necessary to choose an analysis method and understand the significance of differences between simple additivity versus drug interactions.
- Chosen among Doody's Reviews 250 Best Books of 2000!

This is a well-organized, practical guide for the analysis of drug interactions and contains the historical and statistical information necessary to choose an analysis method and understand the significance of differences between simple additivity versus drug interactions.
- Chosen among Doodys Reviews 250 Best Books of 2000!

Product Description

Not since this author's bestselling Manual of Pharmacologic Calculation-long out of print-has there been a reference available for drug data analysis, and even that work did not deal with drug combinations. Although pharmacologists and most other scientists know what synergism is, mainstream textbooks tend to neglect it as a quantitative topic. Few researchers are familiar with the quantitative methodology needed to differentiate synergistic responses from the simply additive responses expected from drug combinations or a single drug's interaction with endogenous chemicals.In Drug Synergism and Dose-Effect Data Analysis, noted pharmacologist, mathematician, and author Ronald J. Tallarida finally brings these methods to light. Drawing on statistical theory and methods but keeping the special needs of the pharmacologist in mind, he begins his treatment with dose-response relations, the statistical analysis of the data, and the models that describe them. He also offers the only modern presentation of probit and logit analysis and provides detailed calculation methods not found in typical statistics books. Numerous examples accompany a presentation that clearly illustrates the calculations and experimental design considerations for modern drug analysis. You'll find the conceptual background, the algorithms, and new research developments. In short, Drug Synergism and Dose-Effect Data Analysis has everything you need to perform, with confidence, the quantitative analysis of dose response data.

Product Details

• Hardcover: 264 pages
• Publisher: Chapman & Hall/CRC; 1 edition (July 21, 2000)
• Language: English
• ISBN-10: 1584880457
• ISBN-13: 978-1584880455
• Product Dimensions: 9.3 x 6.1 x 0.8 inches
• Shipping Weight: 1.1 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #1,385,653 in Books (See Bestsellers in Books)

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Customer Reviews

Most Helpful Customer Reviews

6 of 6 people found the following review helpful:

5.0 out of 5 stars The definitive work, September 21, 2000

By	John L. Plummer (Bedford Park, South Australia Australia) - See all my reviews

The statistical analysis of drug combination data in the literature is of a generally poor quality. This is not through lack of guidance in the literature, but rather because the relevant papers are scattered throughout the statistical and pharmacological literature, making it difficult for researchers to get a good overview of available methodology. What is needed is a single work where the required information is brought together. This book is it! The book covers most of the statistical methods required for drug combination studies, from designing the study to optimise power, fitting dose-response curves, to analysing the data. Many examples are given, which the reader can work through to confirm their understanding. The presentation is very clear, so even those with a limited knowledge of statistics should be able to follow it. The book does not aim to cover all of the available methods for analysing drug combination data, but the methods it does contain will be adequate in most cases. To balance my review I should point out the weak aspects of the book. It is not easy to find any. But maybe some of the material could have been omitted - for example formulas for calculating a linear regression and the variances of the estimates, which most researchers would just want to get from a computer output. Also, there are over 30 pages of tables, such as logarithms, probits, t-tables etc, which most researchers would have access to from other books, and which are rarely required as software normally does all the work. Besides, there is some strange formatting in Table A-2 (natural logarithms). For example, ln(0.1) is given as "7.6974-10"; why not just -2.3026? These criticisms are trivial in relation to the positive aspects. Any researcher studying drug combinations for synergistic or antagonistic effects will need this book. I like it.

5.0 out of 5 stars really good, October 2, 2003

By	mark sexton (spirit lake, ia United States) - See all my reviews

A very well written walk through of basic knowledge into dose-response data and synergistic relationships. I found it very helpful.