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Titlebook: Manual of Pharmacologic Calculations; With Computer Progra Ronald J. Tallarida,Rodney B. Murray Book 1987Latest edition Springer-Verlag New

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發(fā)表于 2025-3-21 20:04:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Manual of Pharmacologic Calculations
副標(biāo)題With Computer Progra
編輯Ronald J. Tallarida,Rodney B. Murray
視頻videohttp://file.papertrans.cn/624/623553/623553.mp4
圖書封面Titlebook: Manual of Pharmacologic Calculations; With Computer Progra Ronald J. Tallarida,Rodney B. Murray Book 1987Latest edition Springer-Verlag New
描述This book contains a collection of quantitative procedures in common use in pharmacology and related disciplines. It is intended for students and researchers in all fields who work with drugs. Many physicians, especially those concerned with clinical pharmacology, will also find much that is useful. The procedures included may be considered "core" since they are generally applicable to all classes of drugs. Some of the procedures deal with statistics and, hence, have even wider application. In this new edition we have increased the number of procedures from 33 (in the first edition) to 48. Other procedures have been revised and expanded. Yet the basic philosophy of this new edition remains unchanged from the first. That is, the pharmacologic basis of each procedure is presented, along with the necessary formulas and one or more worked examples. An associated computer program is included for each procedure and its use is illustrated with the same worked example used in the text. The discussions of theory and the sample computations are brief and self-contained, so that all computations can be made with the aid of a pocket calculator and the statistical tables contained in Appendix A
出版日期Book 1987Latest edition
關(guān)鍵詞Calculation; Pharmakologie; pharmacology; research; statistics
版次2
doihttps://doi.org/10.1007/978-1-4612-4974-0
isbn_softcover978-1-4612-9380-4
isbn_ebook978-1-4612-4974-0
copyrightSpringer-Verlag New York Inc. 1987
The information of publication is updating

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發(fā)表于 2025-3-21 22:11:57 | 只看該作者
Linear Regression I,that “best fits” a set of data points (., .), = 1,…, .. The usual criterion for defining the best fitting straight line is that the sum of the squares of the vertical deviations from the observed point to the corresponding point on the line is a minimum—a least squares method.
板凳
發(fā)表于 2025-3-22 01:26:40 | 只看該作者
,Graded dose—response,re 8.1). There is no generally accepted theory that explains the shape of such curves; yet, we find that such curves are often approximately linear between 20% and 80% of the maximum response. In particular, many isolated tissue preparations display this linear segment. The data in the 20%–80% regio
地板
發(fā)表于 2025-3-22 04:58:49 | 只看該作者
,Quantal Dose—Response: Probits,s that achieve this endpoint as a function of drug dosage. For example, the endpoint might be the production of sleep as determined by lack of response to a measured noxious stimulus. A fixed amount of a hypnotic drug is given to a group of animals and the number (or percentage) that experience slee
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Relative Potency I,vasodilators, or analgesics, or hormones, etc. Potency refers to the amount (mg, g, moles, etc.) of drug needed to produce a level of effect. Relative potency is the ratio of the amounts of each needed to produce the specified effect. Thus, one drug, the standard (S), is assigned unit potency and th
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發(fā)表于 2025-3-22 15:14:28 | 只看該作者
Relative Potency II: Statistical Analysis (Graded Data),onse relations. Frequently, linear regression lines of effect vs. log dose are plotted and made parallel as discussed in Procedure 10. The horizontal distance, L, between the parallel lines is log . — log . = log(./.), and .. = 10. is the relative potency. We now discuss a method for obtaining both
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Analysis I: Schild Plot,concentration of the antagonist is used along with graded concentrations of an agonist acting on the same receptor. The presence of the antagonist shifts the agonist dose—response curve to the right as seen in Figure 15.1.
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