title: Unconditional inferences on the difference of two proportions in cross-sectional studies.
abstract: In order to analyse a 2 x 2 table it is usual to perform inferences (hypothesis test or interval of confidence) on the difference d = p2 - p1 between two independent proportions. To this end it has been customary to adopt the Fisher conditional method, but nowadays the unconditional method of Barnard is increasingly adopted. However, all the present unconditional inferences are based on a double-binomial model. This article performs these inferences - exact and asymptotic - under a multinomial model, which is the appropriate one when the data proceed from a cross-sectional survey. At http://www.ugr.es/-bioest/SG_ASO.EXE there is a program for performing the said unconditional tests that may be copied.
authors.affiliation: Bioestadística, Facultad de Medicina, 18071 Granada, Spain. amartina@ugr.es
authors.forename: A
authors.initials: A
authors.lastname: Martín Andrés
authors.forename: J M
authors.initials: JM
authors.lastname: Tapia García
authors.forename: M J
authors.initials: MJ
authors.lastname: Del Moral Avila
mesh_terms: D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D016001:Confidence Intervals; D003430:Cross-Sectional Studies; D006801:Humans; D015233:Models, Statistical; D012984:Software