Family-Wise Error Rate Controlling Procedures for Discrete Data. (2nd January 2020)
- Record Type:
- Journal Article
- Title:
- Family-Wise Error Rate Controlling Procedures for Discrete Data. (2nd January 2020)
- Main Title:
- Family-Wise Error Rate Controlling Procedures for Discrete Data
- Authors:
- Zhu, Yalin
Guo, Wenge - Abstract:
- Abstract: In applications such as clinical safety analysis, the data of the experiments usually consist of frequency counts. In the analysis of such data, researchers often face the problem of multiple testing based on discrete test statistics, aimed at controlling family-wise error rate (FWER). Most existing FWER controlling procedures are developed for continuous data, which are often conservative when analyzing discrete data. By using minimal attainable p -values, several FWER controlling procedures have been specifically developed for discrete data in the literature. In this article, by using known marginal distributions of true null p -values, three more powerful stepwise procedures are developed, which are modified versions of the conventional Bonferroni, Holm and Hochberg procedures, respectively. It is shown that the first two procedures strongly control the FWER under arbitrary dependence and are more powerful than the existing Tarone-type procedures, while the last one only ensures control of the FWER in special settings. Through extensive simulation studies, we provide numerical evidence of superior performance of the proposed procedures in terms of the FWER control and minimal power. A real clinical safety data are used to demonstrate applications of our proposed procedures. An R package "MHTdiscrete" and a web application are developed for implementing the proposed procedures.
- Is Part Of:
- Statistics in biopharmaceutical research. Volume 12:Number 1(2020)
- Journal:
- Statistics in biopharmaceutical research
- Issue:
- Volume 12:Number 1(2020)
- Issue Display:
- Volume 12, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 12
- Issue:
- 1
- Issue Sort Value:
- 2020-0012-0001-0000
- Page Start:
- 117
- Page End:
- 128
- Publication Date:
- 2020-01-02
- Subjects:
- CDF of p-values -- Clinical safety study -- Multiple testing -- Step-wise procedure
Pharmacy -- Statistical methods -- Periodicals
Pharmaceutical biotechnology -- Statistical methods -- Periodicals
Biopharmaceutics -- Periodicals
Biometry -- Periodicals
Pharmacy -- Statistical methods
Periodicals
615.190727 - Journal URLs:
- http://www.tandfonline.com/toc/usbr20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19466315.2019.1654912 ↗
- Languages:
- English
- ISSNs:
- 1946-6315
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12675.xml