Recommended tests for association in 2 x 2 tables.

Abstract:

:The asymptotic Pearson's chi-squared test and Fisher's exact test have long been the most used for testing association in 2x2 tables. Unconditional tests preserve the significance level and generally are more powerful than Fisher's exact test for moderate to small samples, but previously were disadvantaged by being computationally demanding. This disadvantage is now moot, as software to facilitate unconditional tests has been available for years. Moreover, Fisher's exact test with mid-p adjustment gives about the same results as an unconditional test. Consequently, several better tests are available, and the choice of a test should depend only on its merits for the application involved. Unconditional tests and the mid-p approach ought to be used more than they now are. The traditional Fisher's exact test should practically never be used.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Lydersen S,Fagerland MW,Laake P

doi

10.1002/sim.3531

subject

Has Abstract

pub_date

2009-03-30 00:00:00

pages

1159-75

issue

7

eissn

0277-6715

issn

1097-0258

journal_volume

28

pub_type

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