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A new, sensitive graphical method for detecting deviations from the normal distribution of drug responses: the NTV plot.
Author(s) -
Endrenyi L,
Patel M
Publication year - 1991
Publication title -
british journal of clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.216
H-Index - 146
eISSN - 1365-2125
pISSN - 0306-5251
DOI - 10.1111/j.1365-2125.1991.tb03876.x
Subject(s) - normal distribution , plot (graphics) , mathematics , histogram , statistics , distribution (mathematics) , generalization , probit , probit model , similarity (geometry) , pattern recognition (psychology) , mathematical analysis , artificial intelligence , computer science , image (mathematics)
1. A new graphical method was developed for the detection of deviations from the normal distribution. The approach took advantage of the similarity of graphical features of a graded dose‐response relationship and a cumulative normal distribution. 2. The behaviour of the new normal test variable (NTV) plot was evaluated, in comparison with that of the probit plot and probability density functions (the generalization of histograms), for various assumed distributions. These included skewed distributions and composites of normal distributions with a variety of separations, ratios of peak sizes and widths. 3. The NTV approach generally detected deviations from the normal distribution more sensitively than the probit plot. 4. The NTV and probit plots may be able to identify biomadality by complementary approaches. 5. The characteristics of the three graphical representations were illustrated by a simulated sample from a composite of normal distributions and by an example of sparteine metabolism in 142 Cuna Amerindians.