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• W1998790178 abstract "This Special Issue has been generated from selected papers presented at the 8th International Conference on Multiple Comparison Procedures (MCP2013), which was held on 8–11 July 2013 at the University of Southampton, Southampton, UK. About 150 scientists from academia, regulatory authorities, and industry from more than 15 countries attended the conference to exchange new ideas on the theory and application of multiple comparison procedures. The conference was opened with the keynote lecture by Gerhard Hommel “Is the use of p-values adequate for the presentation of multiple comparison procedures?’’, which looked at important roles played by and possible problems with p-values in multiple comparisons and statistics in general. Earlier 2013 marked the passing of Yosi Hochberg. During the opening session, tributes to Yosi were paid by Ajit Tamhane and Yoav Benjamini to celebrate his life and contributions to statistics. The book Hochberg and Tamhane (1987) and the paper Benjamini and Hochberg (1995) are among the many highly influential contributions made by Yosi to multiple comparisons. This MCP conference provided the public lecture “Are most research findings really false?’’ given by Yoav Benjamini. It was attended by scientists from biology, medicine, social sciences, and engineering in addition to the conference participants. The speaker offered his insights on the important issue of reproducibility of scientific findings from a statistical perspective; see also www.replicability.tau.ac.il. The conference covered a wide range of topics across the spectrum of multiplicity, organized as panel sessions, invited sessions, invited talks, and contributed talks. In response to the call of this special issue, 15 papers were submitted and went through the refereeing process as any other paper submitted to the Biometrical Journal; 11 papers were accepted. We wish to give our special thanks to the editors of the journal, Lutz Edler and Mauro Gasparini, and their Editorial and Administrative Office, for their dedicated attention to coordination and providing timely review feedback to the authors. We are also grateful to the reviewers for helping us with their expert knowledge in the growing field of multiple comparisons and for completing the reviewing tasks in a limited time. The paper by Koenig et al. features a lively panel discussion among representatives from regulatory agencies, industry, journal editors, and academia, on different ongoing initiatives to openly share patient level data from clinical trials. It is a timely and important contribution to this public discussion since the policy of the European Medicines Agency (EMA) on proactive access to clinical trial data is expected to come into effect around the publication of this Special Issue. Three papers are related to simultaneous intervals and bands. Peng et al. consider risk assessment studies in which simultaneous confidence bands can be used to provide simultaneous confidence bounds on extra risks and benchmark doses. In particular, three-segment bands are proposed which offer potentially better bounds at low dose levels than the hyperbolic bands. Kiatsupaibul and Hayter study the construction of nonparametric simultaneous band on an unknown continuous distribution function based on a simple random sample by using recursive computation methods. Chantarangsi et al. provide an objective rule to assess normality using a normal probability plot by providing simultaneous confidence intervals so that under normality all the points should fall into the corresponding intervals simultaneously with probability 1 – α. Two papers introduce decision-analytic frameworks for certain multiple test problems. Lisovskaja and Burman focus on the concept of optimizing a multiple testing procedure with respect to a predefined utility function. The class of Bonferroni-based closed testing procedures, which includes, for example, (weighted) Holm, fall-back, gatekeeping, and graphical procedures, is used in this context. In a similar spirit, Graf et al. use a decision theoretic approach to optimize nonadaptive study designs that allow for inference on subgroups using multiple test procedures as well as adaptive designs, where subgroups may be selected in an interim analysis. For the two papers on group sequential testing, Xi and Tamhane study graph-based group sequential multiple testing procedures for multiple endpoints and optimized strategies for the recycling of significance levels to minimize the sample size required to achieve a given power. Castro-Conde and de Uña-Álvarez introduce adjusted p-values for the sequential goodness-of-fit multiple test procedure, a recently introduced approach to identify significant findings by comparing the observed and expected number of p-values below an initial threshold, where the expectation is taken under the complete null hypothesis. Large-scale multiple testing occurs in scientific areas such as genomics, astronomy, and data analytics. Meijer and Goeman consider high-dimensional multiple testing problems and propose a testing procedure for hypotheses structured in a directed acyclic graph which can be applied in gene set analysis to test multiple gene sets as well as individual genes for their association with a clinical outcome. In testing for equality of gene expression levels, the issue of directional error rate has not received proper attention. Zhao et al. introduce a mixed directional false discovery rate controlling procedure to address this issue. In astronomy, where signal is sparse and weak, it is often of interest to identify whether there are signals present in the data. Higher criticism (HC) tests have been proposed for such situations. Gontscharuk et al. not only explain the slow convergence of the HC statistic, they also construct a new test that shows an improved finite sample behavior. This special issue continues the tradition of the past seven MCP conferences which resulted in special issues with selected papers from the meetings. They are as follows: Benjamini et al. (1999) for the 1st MCP conference (1996) in Tel Aviv, Israel; Bauer et al. (2001) for the 2nd MCP conference (2000) in Berlin, Germany; Westfall and Tamhane (2003) for the 3rd MCP conference (2002) in Bethesda, MD, USA; Bretz et al. (2007) for the 4th MCP conference (2005) in Shanghai, China; Posch et al. (2008) for the 5th MCP conference (2007) in Vienna, Austria; Hirotsu et al. (2010) for the 6th MCP conference (2009) in Tokyo, Japan; and Wang et al. (2013) for the 7th MCP conference (2011) in Washington DC, USA. We look forward to the 9th International Conference on Multiple Comparison Procedures, MCP2015, which will take place at Hyderabad, India on 2–5 September 2015 (www.mcp-conference.org). Wei Liu, Frank Bretz, Jason C. Hsu, Martin Posch Guest Editors" @default.
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• W1998790178 title "MCP2013 - 8th International Conference on Multiple Comparison Procedures" @default.
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