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Testing Statistical Hypotheses of Equivalence and Noninferiority
Abstract
While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations
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“The non-inferiority margin was defined a priori (in the grant application) by a strict and small margin of tolerance for non-inferiority of 10%, or a ε of 0.36 [53], p.16 which, for example, represents a difference in change between the two conditions of no more than 10% on the primary outcome measure.”
In the citing paper
“The sample size was established a priori based on a power analysis for non-inferiority trials [53,54].”
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An Equivalence Test Approach to Rounding Parameter Estimates
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“Irrespective of whether or not the codominance model holds true, the combined testing procedure described in §4.1 maintains the prede fi ned level α of signi fi cance as is guaranteed by the so-called principle of intersection-union (cf. R.L. Berger [21]; Wellek [11], §7.1).”
InfluentialSelf-citationJan, S., & Shieh, G. (2024) · Sankhya B · doi:10.1007/s13571-024-00334-y
“Moreover, the concepts and techniques for the design and analysis of equivalence studies are described in Chow and Liu (2008), Hauschke et al. (2007), and Wellek (2010).”
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Mayo, D. G. (2024) · doi:10.31219/osf.io/tmgqd
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Ochieng, D. (2024) · Statistical Papers · doi:10.1007/s00362-024-01591-9
“Furthermore, Munk (1996) and Wellek (2010) Sect.”
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“Unlike the conventional difference test, which purports to show the existence of interacting factor effects, a test for negligibility of interactions was presented in Wellek (2010) for a two-way ANOVA layout.”
InfluentialEquivalence Test and Sample Size Procedures for Standardized Mean Differences in ANCOVA Studies
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“Te key principle generalizes the technique in Wellek [34] for constructing an equivalence test of the standardized mean diference between two independent populations.”
Hauschke, D. (2025) · International Encyclopedia of Statistical Science · doi:10.1007/978-3-662-69359-9_203
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Izbicki, R., Cabezas, L. M. C., Colugnati, F. A. B., Lassance, R. F. L., de Souza, A. A. L., & Stern, R. B. (2025) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.21.2.p043 · Cited by 1
“Thus, REACT does not have the issue in which the null hypothesis is rejected as the sample size increases.”
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Metadata
- Authors
- Wellek, S.
- Corresponding author
- Wellek, Stefan
- ORCID
- Wellek, Stefan
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2010-06-24
- OpenAlex
- W2480935928
- Cited by
- 548
- References
- 0
- Citations by year
- 2026: 23 · 2025: 19 · 2024: 31 · 2023: 30 · 2022: 50 · 2021: 57 · 2020: 69 · 2019: 49 · 2018: 55 · 2017: 30 · 2016: 30 · 2015: 37 · 2014: 19 · 2013: 24 · 2012: 19
- FWCI
- 4.76
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- equivalence testing, non-inferiority testing, hypothesis testing, one-sample problem, clinical trials
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