Abstract:
:When data are dichotomous, this paper notes the utility of inverse sampling in establishing equivalence with respect to the risk ratio. This paper develops an exact equivalence test that accounts for the risk ratio under inverse sampling and further discusses the relationship between the exact equivalence test and the exact conditional confidence limits. Also included are an exact and two asymptotic procedures for calculation of the minimum required number of index subjects for a desired power 1--beta at a given alpha-level. Finally, this paper provides a table that summarizes the minimum required number of index subjects for powers equal to 0.90 and 0.80 in application of the proposed exact equivalence test at 0.05-level in a variety of situations.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Lui KJdoi
10.1002/(sici)1097-0258(19970815)16:15<1777::aid-ssubject
Has Abstractpub_date
1997-08-15 00:00:00pages
1777-86issue
15eissn
0277-6715issn
1097-0258pii
10.1002/(SICI)1097-0258(19970815)16:15<1777::AID-Sjournal_volume
16pub_type
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