title: Current tests and trends in single-case neuropsychology.
abstract: In this issue of Cortex, Crawford, Garthwaite and Ryan publish bayesian statistical tests that will enable researchers to take account of covariates when comparing single patients to control samples. In this article, we provide some context for this development, from an audit of the Cortex archives. We suggest that single-case research is alive and well, and more rigorous than ever, and that current practice has been shaped considerably by Crawford and colleagues' statistical refinements over the past 12 years. However, there is scope for further tightening and standardisation of statistical methods and reporting standards. The advantages offered by the new bayesian tests should promote the even wider use of appropriate statistical methods, with benefits for the validity of individual studies, and for cross-comparability in the single-case literature.
authors.affiliation: Human Cognitive Neuroscience, Psychology, University of Edinburgh, UK. r.d.mcintosh@ed.ac.uk
authors.forename: Robert D
authors.initials: RD
authors.lastname: McIntosh
authors.forename: Joanna L
authors.initials: JL
authors.lastname: Brooks
mesh_terms: D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D009484:Neuropsychology / Q000706:statistics & numerical data / Q000639:trends*