Sequential Equivalence Testing
Sequential Equivalence Testing is a statistical hypothesis testing framework that extends equivalence testing to sequential experimental designs by enabling interim analyses and early stopping while controlling Type I error rates, thereby distinguishing itself from fixed-sample equivalence tests through its adaptive, data-driven sampling process.
22
Publications
699
Citations
54
Authors
34
Institutions
Publications per year
2017–2026
2
Parents
22
1–5 of 22
54
2
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1–5 of 54
34
Columbia University
New York, United States
2 h-index
4 publications
104 citations
The University of Texas at Austin
Austin, United States
2 h-index
3 publications
49 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
3 publications
89 citations
Center for Health and Learning
Brattleboro, United States
1 h-index
1 publications
20 citations
STMicroelectronics (Czechia)
Prague, Czechia
1 h-index
1 publications
29 citations

University of Bath
Bath, United Kingdom
1 h-index
1 publications
54 citations

The Graduate Center, CUNY
New York, United States
1 h-index
4 publications
136 citations
Quantitative BioSciences
Solana Beach, United States
1 h-index
2 publications
40 citations
1–8 of 34
2 publications · 37 citations
2
h-index
2 publications · 52 citations
2
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2 publications · 151 citations
2
h-index
1 publications · 13 citations
1
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1 publications · 29 citations
1
h-index
1–5