Conditional and Unconditional Tests (and Sample Size) Based on Multiple Comparisons for Stratified 2 × 2 Tables

Author:

Martín Andrés A.1,Herranz Tejedor I.2,Álvarez Hernández M.3

Affiliation:

1. Bioestadística, Facultad de Medicina, University of Granada, 18071 Granada, Spain

2. Bioestadística, Facultad de Medicina, University Complutense of Madrid, 28040 Madrid, Spain

3. Departamento de Estadística e Investigación Operativa, University of Vigo, 36310 Vigo, Spain

Abstract

The Mantel-Haenszel test is the most frequent asymptotic test used for analyzing stratified 2×2 tables. Its exact alternative is the test of Birch, which has recently been reconsidered by Jung. Both tests have a conditional origin: Pearson’s chi-squared test and Fisher’s exact test, respectively. But both tests have the same drawback that the result of global test (the stratified test) may not be compatible with the result of individual tests (the test for each stratum). In this paper, we propose to carry out the global test using a multiple comparisons method (MC method) which does not have this disadvantage. By refining the method (MCB method) an alternative to the Mantel-Haenszel and Birch tests may be obtained. The new MC and MCB methods have the advantage that they may be applied from an unconditional view, a methodology which until now has not been applied to this problem. We also propose some sample size calculation methods.

Funder

Ministerio de Economía y Competitividad, Spanish

Publisher

Hindawi Limited

Subject

Applied Mathematics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine

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