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http://hdl.handle.net/1942/24374
Title: | Multiple confidence intervals for selected parameters adjusted for the false coverage rate in monotone dose-response microarray experiments | Authors: | Peng, Jianan Liu, Wei Bretz, Frank SHKEDY, Ziv |
Issue Date: | 2017 | Publisher: | WILEY | Source: | BIOMETRICAL JOURNAL, 59(4), p. 732-745 | Abstract: | Benjamini and Yekutieli () introduced the concept of the false coverage-statement rate (FCR) to account for selection when the confidence intervals (CIs) are constructed only for the selected parameters. Dose-response analysis in dose-response microarray experiments is conducted only for genes having monotone dose-response relationship, which is a selection problem. In this paper, we consider multiple CIs for the mean gene expression difference between the highest dose and control in monotone dose-response microarray experiments for selected parameters adjusted for the FCR. A simulation study is conducted to study the performance of the method proposed. The method is applied to a real dose-response microarray experiment with 16, 998 genes for illustration. | Notes: | [Peng, Jianan] Acadia Univ, Dept Math & Stat, Wolfville, NS B4P 2R6, Canada. [Liu, Wei] Univ Southampton, S3RI, Southampton SO17 1BJ, Hants, England. [Liu, Wei] Univ Southampton, Sch Math, Southampton SO17 1BJ, Hants, England. [Bretz, Frank] Novartis Pharma AG, CH-4002 Basel, Switzerland. [Bretz, Frank] Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China. [Shkedy, Ziv] Univ Hasselt, Ctr Stat CenStat, BioStat 1, Campus Diepenbeek,Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium. | Keywords: | dose-response study; FCR; FDR; order-restricted inference; selective inference;Dose-response study; FCR; FDR; Order-restricted inference; Selective inference | Document URI: | http://hdl.handle.net/1942/24374 | ISSN: | 0323-3847 | e-ISSN: | 1521-4036 | DOI: | 10.1002/bimj.201500254 | ISI #: | 000404907800010 | Rights: | (c) 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2018 |
Appears in Collections: | Research publications |
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