title: A method for normalizing drug responses to enhance reliability of parametric statistical tests.
abstract: Experimental constraints often require that pharmacologists study the effects of treatments upon responses elicited with a single concentration of agonist. The choice of statistical analysis, nonparametric or parametric, will depend upon whether or not the responses are normally distributed. This study uses both Monte Carlo and theoretical approaches to examine the normality assumption as it applies to drug responses. Responses measured in systems where drug sensitivities follow a lognormal distribution are generally not normally distributed. A simple transformation of responses, however, can restore normality. Researchers may find it beneficial to transform response data prior to performing t tests, analysis of variance or other parametric statistics in order to preserve the power and confidence level of the test.
authors.affiliation: Department ot Medical Pharmacology & Toxicology, Texas A&M University Health Science Center, College Station 77843-1115, USA. jpt@tamu.edu
authors.forename: J P
authors.initials: JP
authors.lastname: Trzeciakowski
mesh_terms: D004305:Dose-Response Relationship, Drug; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D016011:Normal Distribution; D015203:Reproducibility of Results