A New Test for Testing Non Inferiority in Matched-Pairs Design

Autor:	Weiquan Chen, Hua Jin, Zihong Zhong
Rok vydání:	2012
Předmět:	Statistics and Probability Exact test Diagnostic methods Non inferiority Modeling and Simulation Statistics Nuisance parameter Point (geometry) Mathematics Type I and type II errors Test (assessment)
Zdroj:	Communications in Statistics - Simulation and Computation. 41:1557-1565
ISSN:	1532-4141 0361-0918
DOI:	10.1080/03610918.2011.606952
Popis:	Non inferiority of one diagnostic method to another is a common issue in medical research. This article proposes a new test using an approximate p-value, which is based on only one point of the two-dimension nuisance parameter space. The sizes and powers of our test, the asymptotic normal test,Sidik and Hsueh's unconditional exact tests are considered. Simulation results suggest that our test can definitely control the Type I error rates with reasonable powers under all studied conditions while the asymptotic normal test cannot for most cases. Compared to Sidik and Hsueh's tests, our test is much easier to implement.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6813040a9f5b208ba446f5d845102f6d https://doi.org/10.1080/03610918.2011.606952 Zobrazit plný text záznamu