Testing Statistical Hypotheses of Equivalence and Noninferiority, 2nd edn by Stefan Wellek

By Wei Liu. 2011

85 citations recorded by the source corpus.

Subfields: Food Science, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/aa89be4d7a277e399f20624f7d3a60aa010d9058

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Citations in the corpus

Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication (2018, methodology): “4In terms of α-level equivalence testing (Wellek 2010; Lakens et al. 2018), for example, this means that all effects with symmetric two-sided p > 2α are inside the interval of equivalence; for Bayesian analysis this would mean the posterior probabilities of being below the interval and being above t”
New Ways to Evaluate Goodness of Fit: A Note on Using Equivalence Testing to Assess Structural Equation Models (2017, background): “For a general treatment of the topic in statistical hypothesis testing, readers are referred to Wellek (2010).”
Assessing Structural Equation Models by Equivalence Testing With Adjusted Fit Indexes (2016, methodology): “In contrast to NHT, equivalence testing allows us to control the size of misspecification at a prespecified value so that we can claim how good the model is with a desired level of confidence (Wellek, 2010).”
Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values (2019, result): “…may even make more sense contextually to reverse the role of the test and alternative hypothesis, so that the tested H becomes |β −b| ≥ c, as in equivalence testing (Berger and Hsu 1996; Senn 2008; Wellek 2010).8 Other examples of role reversal include risklimiting audits (Lindeman and Stark 2012).”
The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective (2017, unknown): “A different Bayesian decision rule for equivalence examines only the posterior probability mass inside the ROPE, without regard to the HDI (e.g., Wellek, 2010) but we prefer to treat the probability density as a meaningful quantity that better handles skewed distributions (Kruschke, 2015, Section…”