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Comparing Tests for Association in Two- by-Two Tables with Zero Cell Counts


Paper Type 
Contributed Paper
Title 
Comparing Tests for Association in Two- by-Two Tables with Zero Cell Counts
Author 
Nurin Dureh[a], Chamnien Choonpradub* [a] and Phattrawan Tongkumchum [a]
Email 
cchamnein@bunga.pn.psu.ac.th
Abstract:

 This study compared the tests for association in two by two tables with zero cell counts. Pearson’s uncorrected chi-squared test, Pearson’s chi-squared test with the continuity correction, Pearson’s uncorrected chi-squared Monte Carlo simulation test, Fisher’s exact test, the Conditional Binomial Exact Test (CBET), Barnard’s exact test, Liebermeister’s test, Lancaster’s mid P-test and logistic regression with penalized maximum likelihood were considered. Criteria used 72 two by two tables with smallest counts and average p-value for Fisher’s exact test and Pearson’s uncorrected chi-squared test close to 0.05. CBET, Lancaster’s test, and the penalized maximum likelihood test give similar p-values closest to 0.05, suggesting that these three methods can be recommended for testing association in two by two tables with zero cell counts.

Start & End Page 
1031 - 1037
Received Date 
2013-10-07
Revised Date 
Accepted Date 
2014-01-20
Full Text 
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Keyword 
zero cell, two by two table, association
Volume 
Vol.42 No.4 (OCTOBER 2015)
DOI 
SDGs
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