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Citation link: https://doi.org/10.26092/elib/1531
dissertation_hoang.pdf
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Statistische Methoden zur Replizierbarkeitsbewertung im Rahmen mehrstufiger Studien


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Other Titles: Statistical methods for replicability analyses in the context of multi-stage studies
Authors: Hoang, Anh-Tuan  
Supervisor: Dickhaus, Thorsten  
1. Expert: Dickhaus, Thorsten  
Experts: Heller, Ruth  
Abstract: 
In replicability analyses, we are concerned with the analysis of partial conjunction null hypotheses. Valid combination p-values for the latter are often too large. Randomized p-values replace too large p-values with a random number between zero and one, whereas conditional p-values discard these entirely; both need to rescale the remaining p-values. In a multiple testing setup, where many partial conjunction null hypotheses are considered, using either can for example improve the estimation of the proportion of true null hypotheses or the power of a multiple test. Furthermore an analysis of different combination functions in different settings has been conducted, some turning out to be more advantageous for spread-out evidence and others for sparse evidence.
Keywords: conditional p-values; false discovery rate; Fisher method; multiple testing; partial conjunction; proportion of true null hypotheses; randomized p-values; reversed hazard rate; Schweder-Spjotvoll estimator.; Stouffer method
Issue Date: 21-Apr-2022
Type: Dissertation
DOI: 10.26092/elib/1531
URN: urn:nbn:de:gbv:46-elib59268
Institution: Universität Bremen 
Faculty: Fachbereich 03: Mathematik/Informatik (FB 03) 
Appears in Collections:Dissertationen

  

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