title: Ten statistics commandments that almost never should be broken.
abstract: Quantitative researchers must choose among a variety of statistical methods when analyzing their data. In this article, the authors identify ten common errors in how statistical techniques are used and reported in clinical research and recommend stronger alternatives. Useful references to the methodological research literature in which such matters are discussed are provided.
authors: Professor Emeritus, University of Rochester and The Ohio State University, 78-6800 Alii Dr #10, Kailua-Kona, HI, 96740.
authors: Thomas R
authors: TR
authors: Knapp
authors: Jean K
authors: JK
authors: Brown
mesh_terms: D035843:Biomedical Research / Q000458:organization & administration*; D003627:Data Interpretation, Statistical; D017408:Guidelines as Topic; D006801:Humans; D012107:Research Design / Q000706:statistics & numerical data*
keywords: measurement; research design; statistical significance; statistics