Literature DB >> 29072552

Advances in p-Value Based Multiple Test Procedures.

Ajit C Tamhane1, Jiangtao Gou2.   

Abstract

In this article we review recent advances in [Formula: see text]-value-based multiple test procedures (MTPs). We begin with a brief review of the basic tests of Bonferroni and Simes. Standard stepwise MTPs derived from them using the closure method of Marcus et al. (1976) are discussed next. They include the well-known MTPs of Holm (1979), Hochberg (1988) and Hommel (1988), and their extensions and improvements. This is followed by stepwise MTPs for a priori ordered hypotheses. Next we present gatekeeping MTPs (Dmitrienko and Tamhane, 2007) for hierarchically ordered families of hypotheses with logical relations among them. Finally, we give a brief review of the graphical approach (Bretz et al., 2009) to constructing and visualizing gatekeeping and other MTPs. Simple numerical examples are given to illustrate the various procedures.

Keywords:  Adjusted p-values; closure method; familywise error rate; gatekeeping procedures; graphical approach; simultaneous confidence intervals; stepwise procedures

Mesh:

Year:  2017        PMID: 29072552     DOI: 10.1080/10543406.2017.1378666

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  4 in total

1.  Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints.

Authors:  Tianyu Zhan; Yiwang Zhou; Ziqian Geng; Yihua Gu; Jian Kang; Li Wang; Xiaohong Huang; Elizabeth H Slate
Journal:  J Biopharm Stat       Date:  2021-10-10       Impact factor: 1.503

2.  MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction.

Authors:  Otília Menyhart; Boglárka Weltz; Balázs Győrffy
Journal:  PLoS One       Date:  2021-06-09       Impact factor: 3.752

3.  Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning.

Authors:  Tianyu Zhan; Alan Hartford; Jian Kang; Walter Offen
Journal:  Stat Biopharm Res       Date:  2020-08-24       Impact factor: 1.586

4.  Context-dependent roles of MDMX (MDM4) and MDM2 in breast cancer proliferation and circulating tumor cells.

Authors:  Chong Gao; Gu Xiao; Alessandra Piersigilli; Jiangtao Gou; Olorunseun Ogunwobi; Jill Bargonetti
Journal:  Breast Cancer Res       Date:  2019-01-14       Impact factor: 6.466

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.