Adaptive linear step-up multiple testing procedure with the bias-reduced estimator

Donggyu Kim and Chunming Zhang

Statistics & Probability Letters, 2014, vol. 87, issue C, 31-39

Abstract: This paper suggests two novel adaptive linear step-up procedures to reduce the bias of the estimator of π0, the proportion of true null hypotheses. Estimators of π0 are based on the number of p-values less than a threshold which converges to one.

Keywords: False discovery rate; Multiple testing; Adaptive linear step-up procedure; Storey’s estimator (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715214000054
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:87:y:2014:i:c:p:31-39

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.spl.2014.01.001

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().