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Monte Carlo method for the estimation of statistical significance in pharmacological testing
Author(s) -
Lewi Paul J.,
Keersmaekers Roger C. A.,
Awouters Frans
Publication year - 1986
Publication title -
drug development research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.582
H-Index - 60
eISSN - 1098-2299
pISSN - 0272-4391
DOI - 10.1002/ddr.430080113
Subject(s) - monte carlo method , nonparametric statistics , confidence interval , confidence region , monte carlo method in statistical physics , statistical hypothesis testing , statistics , mathematics , statistical physics , hybrid monte carlo , computer science , physics , markov chain monte carlo
The Monte Carlo method, also called computer simulation, has been applied to the estimation of confidence limits of pharmacological results. An application of this nonparametric method to observations from the passive cutaneous anaphylaxis test in the rat is described. Confidence limits for the sum of five observations are shown to be reproducible with repeated simulation and to be sensitive to changing experimental conditions. A difference between two anti‐ovalbumin IgE serum batches has been observed from the empirical distributions produced by the Monte Carlo method.