The online closure principle
Author:
Affiliation:
1. Competence Center for Clinical Trials Bremen, University of Bremen
2. Center for Medical Data Science, Medical University of Vienna
Publisher
Institute of Mathematical Statistics
Reference41 articles.
1. GOEMAN, J. J., HEMERIK, J. and SOLARI, A. (2021). Only closed testing procedures are admissible for controlling false discovery proportions. Ann. Statist. 49 1218–1238.
2. ZHAO, Q., SMALL, D. S. and SU, W. (2019). Multiple testing when many p-values are uniformly conservative, with application to testing qualitative interaction in educational interventions. J. Amer. Statist. Assoc. 114 1291–1304.
3. FOSTER, D. P. and STINE, R. A. (2008). α-Investing: A procedure for sequential control of expected false discoveries. J. R. Stat. Soc. Ser. B. Stat. Methodol. 70 429–444.
4. ROBERTSON, D. S., WASON, J. M. S., KÖNIG, F., POSCH, M. and JAKI, T. (2023). Online error rate control for platform trials. Stat. Med. 42 2475–2495.
5. ROBERTSON, D. S., WILDENHAIN, J., JAVANMARD, A. and KARP, N. A. (2019). onlineFDR: An R package to control the false discovery rate for growing data repositories. Bioinformatics 35 4196–4199.
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