Literature DB >> 16389914

Unconditional inferences on the difference of two proportions in cross-sectional studies.

A Martín Andrés1, J M Tapia García, M J Del Moral Avila.   

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.

Mesh:

Year:  2005        PMID: 16389914     DOI: 10.1002/bimj.200410097

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  1 in total

1.  Evaluating the performance of simultaneous stepwise confidence intervals for the difference between two Poisson rates.

Authors:  Brianna C Bright; Julia N Soulakova
Journal:  Commun Stat Simul Comput       Date:  2014-08-01       Impact factor: 1.118

  1 in total

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