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638 CHAPTER 12 THE CHI-SQUARE DISTRIBUTION AND THE ANALYSIS OF FREQUENCIES<br />

b, A a, and B b are all greater than or equal to 5. Alternatively, when sample sizes are<br />

sufficiently large, we may test the null hypothesis by means of the chi-square test.<br />

Further Reading The Fisher exact test has been the subject of some controversy<br />

among statisticians. Some feel that the assumption of fixed marginal totals is unrealistic in<br />

most practical applications. The controversy then centers around whether the test is<br />

appropriate when both marginal totals are not fixed. For further discussion of this and other<br />

points, see the articles by Barnard (13–15), Fisher (16), and Pearson (17).<br />

Sweetland (18) compared the results of using the chi-square test with those obtained<br />

using the Fisher exact test for samples of size A þ B ¼ 3toA þ B ¼ 69. He found close<br />

agreement when A and B were close in size and the test was one-sided.<br />

Carr (19) presents an extension of the Fisher exact test to more than two samples of<br />

equal size and gives an example to demonstrate the calculations. Neave (20) presents the<br />

Fisher exact test in a new format; the test is treated as one of independence rather than of<br />

homogeneity. He has prepared extensive tables for use with his approach.<br />

The sensitivity of Fisher’s exact test to minor perturbations in 2 2 contingency<br />

tables is discussed by Dupont (21).<br />

EXAMPLE 12.6.1<br />

The purpose of a study by Justesen et al. (A-12) was to evaluate the long-term efficacy of<br />

taking indinavir/ritonavir twice a day in combination with two nucleoside reverse<br />

transcriptase inhibitors among HIV-positive subjects who were divided into two groups.<br />

Group 1 consisted of patients who had no history of taking protease inhibitors (PI Na€ıve).<br />

Group 2 consisted of patients who had a previous history taking a protease inhibitor (PI<br />

Experienced). Table 12.6.2 shows whether these subjects remained on the regimen for the<br />

120 weeks of follow-up. We wish to know if we may conclude that patients classified as<br />

group 1 have a lower probability than subjects in group 2 of remaining on the regimen for<br />

120 weeks.<br />

TABLE 12.6.2 Regimen Status at 120 Weeks for<br />

PI Na€ıve and PI Experienced Subjects Taking<br />

Indinavir/Ritonavir as Described in Example 12.6.1<br />

Remained in<br />

the Regimen<br />

for 120 Weeks<br />

Total Yes No<br />

1 (PI Na€ıve) 9 2 7<br />

2 (PA Experienced) 12 8 4<br />

Total 21 10 11<br />

Source: U.S. Justesen, A. M. Lervfing, A. Thomsen, J. A. Lindberg,<br />

C. Pedersen, and P. Tauris, “Low-Dose Indinavir in Combination with<br />

Low-Dose Ritonavir: Steady-State Pharmacokinetics and Long-Term<br />

Clinical Outcome Follow-Up,” HIV Medicine, 4 (2003), 250–254.

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