On asymptotic normality in estimation after a group sequential trial

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...

Full description

Saved in:
Bibliographic Details
Published inSequential analysis Vol. 39; no. 4; pp. 443 - 466
Main Authors Berckmoes, Ben, Ivanova, Anna, Molenberghs, Geert
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 01.10.2020
Taylor & Francis Ltd
Subjects
Online AccessGet full text
ISSN0747-4946
1532-4176
DOI10.1080/07474946.2020.1826784

Cover

Loading…
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.
AbstractList 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.
Author Ivanova, Anna
Molenberghs, Geert
Berckmoes, Ben
Author_xml – sequence: 1
  givenname: Ben
  surname: Berckmoes
  fullname: Berckmoes, Ben
  organization: Department of Mathematics, University of Antwerp
– sequence: 2
  givenname: Anna
  surname: Ivanova
  fullname: Ivanova, Anna
  organization: Department of CenStat, University of Hasselt
– sequence: 3
  givenname: Geert
  surname: Molenberghs
  fullname: Molenberghs, Geert
  organization: Department of L-BioStat, University of Leuven
BookMark eNp9kEtLAzEQgINUsK3-BCHgeWseu5vsTalPKPSi55DuTiRlm6xJiuy_N0vr1csMDN-8vgWaOe8AoVtKVpRIck9EKcqmrFeMsFySrBayvEBzWnFWlFTUMzSfmGKCrtAixj0hVFIi5uhp67CO42FIPtkWOx8OurdpxNZhiMkedLI-IyZBwBp_BX8ccITvI7hkdY9TyPEaXRrdR7g55yX6fHn-WL8Vm-3r-_pxU7Sc81TwSu-6suUajBDNTgM0ogWQlZEgTNOBaARjNTQVq7uaCsO0YbzmUoLZtRr4Et2d5g7B5wtiUnt_DC6vVKyUtCq5pCJT1Ylqg48xgFFDyH-EUVGiJmHqT5iahKmzsNz3cOqzzkwafnzoO5X02PtggnatjYr_P-IX8IZ1CA
Cites_doi 10.2307/2532050
10.2307/2530245
10.1093/biomet/79.2.347
10.1177/0962280212445801
10.1016/j.csda.2018.03.016
10.1093/biomet/64.2.191
10.2307/2335213
ContentType Journal Article
Copyright 2020 Taylor & Francis Group, LLC 2020
2020 Taylor & Francis Group, LLC
Copyright_xml – notice: 2020 Taylor & Francis Group, LLC 2020
– notice: 2020 Taylor & Francis Group, LLC
DBID AAYXX
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
DOI 10.1080/07474946.2020.1826784
DatabaseName CrossRef
Computer and Information Systems Abstracts
Technology Research Database
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
DatabaseTitle CrossRef
Computer and Information Systems Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
Advanced Technologies Database with Aerospace
ProQuest Computer Science Collection
Computer and Information Systems Abstracts Professional
DatabaseTitleList Computer and Information Systems Abstracts

DeliveryMethod fulltext_linktorsrc
Discipline Mathematics
EISSN 1532-4176
EndPage 466
ExternalDocumentID 10_1080_07474946_2020_1826784
1826784
Genre Research Article
GroupedDBID .7F
.QJ
0BK
0R~
123
30N
4.4
5VS
AAENE
AAJMT
AALDU
AAMIU
AAPUL
AAQRR
ABCCY
ABFIM
ABHAV
ABJNI
ABLIJ
ABPAQ
ABPEM
ABTAI
ABXUL
ABXYU
ACGEJ
ACGFS
ACIWK
ACTIO
ADCVX
ADGTB
ADXPE
AEISY
AEOZL
AEPSL
AEYOC
AFKVX
AGDLA
AGMYJ
AIJEM
AJWEG
AKBVH
AKOOK
ALMA_UNASSIGNED_HOLDINGS
ALQZU
AQRUH
AVBZW
AWYRJ
BLEHA
CCCUG
CE4
CS3
DGEBU
DKSSO
EBS
E~A
E~B
F5P
GTTXZ
H13
HF~
HZ~
H~P
IPNFZ
J.P
KYCEM
LJTGL
M4Z
NA5
NY~
O9-
P2P
PQQKQ
RIG
RNANH
ROSJB
RTWRZ
S-T
SNACF
TBQAZ
TEJ
TFL
TFT
TFW
TN5
TTHFI
TUROJ
TWF
UT5
UU3
ZGOLN
~S~
AAGDL
AAHIA
AAYXX
ADYSH
AFRVT
AIYEW
AMPGV
CITATION
7SC
8FD
JQ2
L7M
L~C
L~D
TASJS
ID FETCH-LOGICAL-c333t-35abd4c3aef779baee97cee85f8e7f9de797226e9526d617f2af236388efbcae3
ISSN 0747-4946
IngestDate Wed Aug 13 07:27:23 EDT 2025
Tue Jul 01 03:56:57 EDT 2025
Wed Dec 25 09:06:56 EST 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c333t-35abd4c3aef779baee97cee85f8e7f9de797226e9526d617f2af236388efbcae3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
OpenAccessLink http://hdl.handle.net/1942/33469
PQID 2481543817
PQPubID 216170
PageCount 24
ParticipantIDs crossref_primary_10_1080_07474946_2020_1826784
informaworld_taylorfrancis_310_1080_07474946_2020_1826784
proquest_journals_2481543817
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-10-01
PublicationDateYYYYMMDD 2020-10-01
PublicationDate_xml – month: 10
  year: 2020
  text: 2020-10-01
  day: 01
PublicationDecade 2020
PublicationPlace Philadelphia
PublicationPlace_xml – name: Philadelphia
PublicationTitle Sequential analysis
PublicationYear 2020
Publisher Taylor & Francis
Taylor & Francis Ltd
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
References Rachev S. T. (CIT0006) 1991
CIT0001
CIT0003
CIT0002
Whitehead J. (CIT0008) 1987
Zolotarev V. M. (CIT0010) 1983; 28
CIT0005
CIT0004
CIT0007
CIT0009
References_xml – ident: CIT0002
  doi: 10.2307/2532050
– ident: CIT0004
  doi: 10.2307/2530245
– volume-title: The Design and Analysis of Sequential Clinical Trials
  year: 1987
  ident: CIT0008
– ident: CIT0009
  doi: 10.1093/biomet/79.2.347
– ident: CIT0003
  doi: 10.1177/0962280212445801
– ident: CIT0001
  doi: 10.1016/j.csda.2018.03.016
– volume-title: Probability Metrics and the Stability of Stochastic Models
  year: 1991
  ident: CIT0006
– ident: CIT0005
  doi: 10.1093/biomet/64.2.191
– ident: CIT0007
  doi: 10.2307/2335213
– volume: 28
  start-page: 264
  year: 1983
  ident: CIT0010
  publication-title: Probability Metrics (Russian) Teoriya Veroyatnostei i ee Primeneniya
SSID ssj0018107
Score 2.1566138
Snippet 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...
SourceID proquest
crossref
informaworld
SourceType Aggregation Database
Index Database
Publisher
StartPage 443
SubjectTerms Asymptotic normality
Asymptotic properties
confidence interval
Confidence intervals
group sequential trial
Normality
sample mean
Title On asymptotic normality in estimation after a group sequential trial
URI https://www.tandfonline.com/doi/abs/10.1080/07474946.2020.1826784
https://www.proquest.com/docview/2481543817
Volume 39
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT9wwELZaeqEHBG1ReRT50Nsqq03srOMjrwqQFg4FiVvk-KFWFV7EppXg1zN-JbsF8bpEUVZxvJ7x-Bt75huEvuuci4ZXMlOA5zNKZJk1SlLQZaoUp4oynxQ2OR0fXdCTy_Kyj1X12SVtM5R3j-aVvEWq8Azk6rJkXyHZrlF4APcgX7iChOH6Ihmf2YGY3V5dt1NHu2od_PSo2tGAwNQNWYmxDLgY-ASOQYidbn26iOviPDr92f8mIllJ567rG_nnahqMyl6fP3YMSHz6L2zOWtvZ-Ik77nehY7_izruOhwBxgwG8yRSqluwQeBwZ5XGnUCc7CZLNQ-mWZEgDK1FUGDpnFWlgYooLLA1lVh7Y7hjsCF9zHxu6rgyd98NCDblFruz_1rAusjBPlKexmdo1U8dm3qMPBXgTrsIHGZ12h01VHrLq0_9MiV6Ogv2x3ixAmAWC2wcLukcp56toJboXeDfoyhp6p-0n9HHScfPOPqODM4t7rcGd1uDfFvdag73WYIG91uBea7DXmi_o4sfh-f5RFmtpZJIQ0makFI2ikghtGOON0JozwEdVaSrNDFeacQZIXPOyGCtAtaYQpiBgnCttGik0WUdLdmr1V4SLcTWiOs-FGXPKmxFYgVwatzZQRcBD3UDDNDz1daBMqZ8Uywbi84NYt36vyoTCMjV55t3tNOJ1nJmzunAMRI67jm2-ti9baLmfA9toqb35q78B7GybHa8098ACes8
linkProvider Taylor & Francis
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagDMDAG1Eo4IE1pYmdOB4RUBVoy9JK3SzHDwkBaUXTAX49fiRVC0IMXR2d5djnu8_23XcAXKmQ8oymIpAGzwcYiTjIpMBGl7GUFEtMXFJYr590hvhxFI8WcmFsWKU9Q2tPFOFstd3c9jK6Com7tqTvmGIbYRCZJoOQSYrXwUZME2LLN6BWf_6SkIY-ZdqIBFamyuL5q5sl_7TEXvrLWjsX1N4Fohq8jzx5bc6KrCm-fvA6rvZ3e2CnRKjwxqvUPlhT-QHY7s3pXaeH4O45h3z6-T4pxqYB5nbwFs7Dlxxa1g6fDgld_XHIocscgT5o2xiUN-hKhRyBYft-cNsJynIMgUAIFQGKeSaxQFxpQmjGlaLEuNg01qkimkpFKDFgTtE4SqQBRjriOkJmf6dKZ4IrdAxq-ThXJwBGSdrCKgy5TiimWcsoUii0NS9YInPIqYNmtQhs4lk3WFiRmZbTw-z0sHJ66oAuLhUr3HWH9rVJGPpHtlGtKys38JRFlsTG0p-R0xW6vgSbnUGvy7oP_aczsGU_-UDABqgVHzN1bgBNkV04jf0Gw9rouA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELagSAgG3ohCAQ-sKU3sxPGIKFV5tDBQic2yY1tCQFqRdIBfjx9JRUGIoasjW47vfP6cfPcdAGcqpFzQNAukwfMBRlkcCJlh48tYSoolJi4pbDBM-iN88xTXbMKiolXaO7T2QhEuVtvNPZG6ZsSdW813TLElGESmyQBkkuJlsJIYeGIdG3WGsx8Jaegzpk2XwPapk3j-GmbueJoTL_0VrN0J1NsEop67J568tKelaGefP2QdF3q5LbBR4VN44R1qGyypfAesD2birsUu6N7nkBcfb5NybBpgbuduwTx8zqHV7PDJkNBVH4ccurwR6CnbJpy8QlcoZA-MelePl_2gKsYQZAihMkAxFxJniCtNCBVcKUrMAZvGOlVEU6kIJQbKKRpHiTSwSEdcR8js7lRpkXGF9kEjH-fqAMAoSTtYhSHXCcVUdIwbhZm2wQVLZK44TdCubcAmXnODhbWUabU8zC4Pq5anCeh3S7HSfezQvjIJQ__0bdVmZdX2LVhkJWys-Bk5XGDoU7D60O2xu-vh7RFYs088C7AFGuX7VB0bNFOKE-evXw2O52U
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=On+asymptotic+normality+in+estimation+after+a+group+sequential+trial&rft.jtitle=Sequential+analysis&rft.au=Berckmoes%2C+Ben&rft.au=Ivanova%2C+Anna&rft.au=Molenberghs%2C+Geert&rft.date=2020-10-01&rft.issn=0747-4946&rft.eissn=1532-4176&rft.volume=39&rft.issue=4&rft.spage=443&rft.epage=466&rft_id=info:doi/10.1080%2F07474946.2020.1826784&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_07474946_2020_1826784
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0747-4946&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0747-4946&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0747-4946&client=summon