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

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Judicious

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.

Bereavement

,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

fertilizer

,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

背带

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

观点

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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Consequence

Dawdle

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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