Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33469
Title: On asymptotic normality in estimation after a group sequential trial
Authors: BERCKMOES, Ben 
IVANOVA, Anna 
MOLENBERGHS, Geert 
Issue Date: 2020
Publisher: TAYLOR & FRANCIS INC
Source: Sequential Analysis-Design Methods and Applications, 39 (4) , p. 443 -466
Abstract: We prove that in many realistic cases, the ordinary sample mean after a group sequential trial is asymptotically normal if the maximal number of observations increases. We derive that it is often safe to use naive confidence intervals for the mean of the collected observations, based on the ordinary sample mean. Our theoretical findings are confirmed by a simulation study.
Notes: Berckmoes, B (corresponding author), Univ Antwerp, Dept Math, Middelheimlaan 1, B-2020 Antwerp, Belgium.
ben.berckmoes@uantwerpen.be
Other: Berckmoes, B (corresponding author), Univ Antwerp, Dept Math, Middelheimlaan 1, B-2020 Antwerp, Belgium. ben.berckmoes@uantwerpen.be
Keywords: Asymptotic normality;confidence interval;group sequential trial;sample mean
Document URI: http://hdl.handle.net/1942/33469
ISSN: 0747-4946
e-ISSN: 1532-4176
DOI: 10.1080/07474946.2020.1826784
ISI #: WOS:000612428700001
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
577.pdfPeer-reviewed author version242.7 kBAdobe PDFView/Open
Show full item record

Page view(s)

28
checked on Jun 21, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.