title: CURT: a randomization test for statistical comparison between experimental curves.
abstract: In this paper, a new nonparametric method for testing the difference between two groups of time series is considered. A difference index between the two groups, based on the mathematical notion of norm, is introduced. Then, the statistical significance of the observed difference is assessed by means of a randomization procedure. The percentages of alpha and beta errors are evaluated by means of computer simulation. The method is also applied to a set of experimental data and the results are compared with those obtained by means of Student's t-test.
authors.affiliation: Istituto di Ricerche Farmacologiche Mario Negri, Biomathematics and Biostatistics Unit, Milan, Italy.
authors.forename: M
authors.initials: M
authors.lastname: Rocchetti
authors.forename: G
authors.initials: G
authors.lastname: De Nicolao
mesh_terms: D000818:Animals; D015306:Biogenic Monoamines / Q000378:metabolism; D001923:Brain Chemistry / Q000187:drug effects; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005189:False Positive Reactions; D008432:Mathematical Computing; D011897:Random Allocation; D012984:Software
chemical_list: D015306:Biogenic Monoamines