title: Combining independent p values: extensions of the Stouffer and binomial methods.
abstract: The Stouffer z method, and other popular methods for combining p values from independent significance tests, suffer from three problems: vulnerability to criticisms of the individual studies being pooled, difficulty in handling the "file drawer problem," and vague conclusions. These problems can be reduced or eliminated by supplementing a test of combined probability with a variety of new analyses described here. Along with other advantages, these analyses provide a way to address the file drawer problem without making limiting assumptions about the nature of studies not included in the pooled analysis. These analyses can supplement a traditional meta-analysis, yielding conclusions not provided by widely used meta-analytic procedures.
authors.affiliation: Department of Psychology, Cornell University, Ithaca, New York 14853, USA. rbd1@cornell.edu
authors.forename: R B
authors.initials: RB
authors.lastname: Darlington
authors.forename: A F
authors.initials: AF
authors.lastname: Hayes
mesh_terms: D016010:Binomial Distribution; D006801:Humans; D015201:Meta-Analysis as Topic; D011336:Probability; D011594:Psychometrics