Graphical approaches to multiple testing
WebFeb 20, 2014 · In this tutorial article, we review multiple testing strategies that are related to the following: (a) recycling local significance levels to test hierarchically ordered hypotheses; (b) adapting the significance level for testing a hypothesis to the findings of testing previous hypotheses within a given test sequence, also in view of certain ... WebPeter H. Westfall, Ph.D., Horn Professor of Statistics, Department of Information Systems and Quantitative Sciences, Texas Tech University, has acted as a consultant for several large pharmaceutical companies, is an author of Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment and Multiple Comparisons Using R, and …
Graphical approaches to multiple testing
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WebUniversity of North Carolina at Chapel Hill WebGraphical Approaches to Multiple Testing By Frank Bretz, Willi Maurer, Jeff Maca Book Clinical Trial Biostatistics and Biopharmaceutical Applications Edition 1st Edition First …
WebGraphical approaches to multiple testing Motivation Increasing complexity of confirmatory trial designs • Multiple treatment arms, multiple primary and secondary endpoints, interim analyses • Designing a valid multiple testing strategy with desired properties is a cross-functional exercise and may involve Web2.5.8 Sequential Testing with Fixed Sequences 2.6 Graphical Presentation of Multiple Testing Results 2.6.1 The Schweder-Spjotvoll p-Value Plot ... A Loss Function Approach 13.4 Multiple Bayesian Tests of Point Nulls 13.5 Concluding Remarks Chapter 14 Additional Topics .
WebMultiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery." A stated confidence level generally applies only to each test considered individually, but often it is desirable to have a confidence level for the whole family of simultaneous tests.[4] WebJan 18, 2024 · Using the graphical approach, suitable multiple teststrategies can be considered and tailored to given clinical study objectives.Figure 14.6c displays a possible …
WebFeb 1, 2024 · This is a realization of the improved weighted parametric test mentioned in [16] for multiple testing in group sequential trials using graphical approaches. In Section 2, we briefly review methods in group sequential design. We introduce the complete correlation structure (CCS) incorporating both interim analyses and populations in …
WebNov 24, 2014 · In addition, graphical approaches have been proposed that facilitate the visualization and communication of Bonferroni-based closed test procedures for … bl270hwWebMultiple test procedures developed using the graphical approach for constructing and illustrating multiple test procedures are a subclass of closed testing procedures. See … bl21 strainWebThe recently developed graphical approach has the flexibility to integrate hierarchical and non-hierarchical procedures into one framework. A graphical multiple testing … bl24c64aWebSep 1, 2024 · This graphical approach , originally developed for testing multiple hypotheses of non-GS trials, can also be conveniently used for testing multiple hypotheses of GS trials; see, for example, Maurer and Bretz . The following explains the key concepts of this approach for testing multiple hypotheses. bl-22-cWeb• GS test procedures for testing multiple hypotheses o Methods based on the Bonferroni inequality o Method based on the CTP (Tang & Geller, 1999) o The case of testing 2 … bl229 automatic systemsWebDec 2, 2008 · The resulting multiple test procedures are represented by directed, weighted graphs, where each node corresponds to an elementary hypothesis, together with a … bl2554cb5trMultiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery." A stated confidence level generally applies only to each test considered individually, but often it is desirable to have a confidence level for the whole family of simultaneous tests. Failure to compensate for multiple comparisons can have important real-world consequences, as illustrated by the following examples: bl2302 st andrews