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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 |
Download |
Keyword |
zero cell, two by two table, association |
Volume |
Vol.42 No.4 (OCTOBER 2015) |
DOI |
|
Citation |
Dureh[a] N., [a] C.C. and [a] P.T., Comparing Tests for Association in Two- by-Two Tables with Zero Cell Counts, Chiang Mai Journal of Science, 2015; 42(4): 1031-1037. |
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