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Chapter 166 Equivalence Tests for the Ratio of Two Correlated Proportions
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2019 |
| Abstract | Introduction The procedure described in this chapter computes power and sample size for testing equivalence using ratios in designs in which two dichotomous responses are measured on each subject. When one is interested in showing that two correlated proportions are different, the data are often analyzed with McNemar’s test. However, the procedures discussed here are interested in showing equivalence rather than difference. For example, suppose a diagnostic procedure is accurate, but is expensive to apply or has serious side effects. A replacement procedure may be sought which is equally accurate, but is less expensive or has fewer side effects. In this case, we are not interested in showing that the two diagnostic procedures are different, but rather that they are the same. Equivalence tests were designed for this situation. These tests are often divided into two categories: equivalence (two-sided) tests and non-inferiority (one-sided) tests. Here, the term equivalence tests means that we want to show that two diagnostic procedures are equivalent—that is, their accuracy is about the same. This requires a two-sided hypothesis test. On the other hand, non-inferiority tests are used when we want to show that a new (experimental) procedure is no worse than the existing (reference or gold-standard) one. This requires a one-sided hypothesis test. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/PASS/Equivalence_Tests_for_the_Ratio_of_Two_Correlated_Proportions.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Chapter |
