Free Download Whose Reality Counts?: Putting the First Last, by Robert Chambers

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Whose Reality Counts?: Putting the First Last, by Robert Chambers

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About the Author

Robert Chambers is Research Associate and Emeritus Professor, Institute of Development Studies, University of Sussex and the author of Participatory Workshops (2002) and Ideas for Development (2005).

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Product details

Paperback: 297 pages

Publisher: Intermediate Technology Publications; 2 edition (June 17, 1999)

Language: English

ISBN-10: 9781853393860

ISBN-13: 978-1853393860

ASIN: 185339386X

Product Dimensions:

6 x 0.7 x 9 inches

Shipping Weight: 1 pounds (View shipping rates and policies)

Average Customer Review:

4.0 out of 5 stars

2 customer reviews

Amazon Best Sellers Rank:

#1,180,136 in Books (See Top 100 in Books)

While it might be premature to give full comment on this book because I am yet to read it all up. I must say it is a very good reference book for any Development Studies student or practitioner who is looking to make a sustained difference with development initiatives. This book was recommended by my Professor and Thesis Supervisor. Its an insightful read on participatory approach to development.

Good book.

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Ebook Free Drug Synergism and Dose-Effect Data Analysis

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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!

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Product details

Hardcover: 264 pages

Publisher: Chapman and Hall/CRC; 1 edition (July 21, 2000)

Language: English

ISBN-10: 1584880457

ISBN-13: 978-1584880455

Product Dimensions:

6.1 x 0.6 x 9.2 inches

Shipping Weight: 1.1 pounds (View shipping rates and policies)

Average Customer Review:

5.0 out of 5 stars

2 customer reviews

Amazon Best Sellers Rank:

#1,974,084 in Books (See Top 100 in Books)

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.

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

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