Adaptive confidence intervals of desired length and power for normal means
In all empirical or experimental sciences, it is a standard approach to present results, additionally to point estimates, in form of confidence intervals on the parameters of interest. The length of a confidence interval characterizes the accuracy of the whole findings. Consequently, confidence inte...
Saved in:
Published in | Journal of statistical planning and inference Vol. 140; no. 11; pp. 3317 - 3325 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier B.V
01.11.2010
Elsevier |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In all empirical or experimental sciences, it is a standard approach to present results, additionally to point estimates, in form of confidence intervals on the parameters of interest. The length of a confidence interval characterizes the accuracy of the whole findings. Consequently, confidence intervals should be constructed to hold a desired length. Basic ideas go back to
Stein (1945) and
Seelbinder (1953) who proposed a two-stage procedure for hypothesis testing about a normal mean.
Tukey (1953) additionally considered the probability or power a confidence interval should possess to hold its length within a desired boundary. In this paper, an adaptive multi-stage approach is presented that can be considered as an extension of Stein's concept. Concrete rules for sample size updating are provided. Following an adaptive two-stage design of
O’Brien and Fleming (1979) type, a real data example is worked out in detail. |
---|---|
AbstractList | In all empirical or experimental sciences, it is a standard approach to present results, additionally to point estimates, in form of confidence intervals on the parameters of interest. The length of a confidence interval characterizes the accuracy of the whole findings. Consequently, confidence intervals should be constructed to hold a desired length. Basic ideas go back to
Stein (1945) and
Seelbinder (1953) who proposed a two-stage procedure for hypothesis testing about a normal mean.
Tukey (1953) additionally considered the probability or power a confidence interval should possess to hold its length within a desired boundary. In this paper, an adaptive multi-stage approach is presented that can be considered as an extension of Stein's concept. Concrete rules for sample size updating are provided. Following an adaptive two-stage design of
O’Brien and Fleming (1979) type, a real data example is worked out in detail. |
Author | Knapp, Guido Hartung, Joachim |
Author_xml | – sequence: 1 givenname: Joachim surname: Hartung fullname: Hartung, Joachim email: hartung@statistik.tu-dortmund.de – sequence: 2 givenname: Guido surname: Knapp fullname: Knapp, Guido email: guido.knapp@tu-dortmund.de |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22995675$$DView record in Pascal Francis |
BookMark | eNp9kEtLxDAQgIOs4Lr6Bzzl4rE1j6ZJwcuy-GTBg95DTCaaspuWpKz4701Z8ehchhnmmxm-c7SIQwSEriipKaHtTV_3eQw1I6VBmpqI5gQtqZK8olTSBVoSLlXFpVBn6DznnpRoiVii57Uz4xQOgO0QfXAQLeAQJ0gHs8t48NhBDgkc3kH8mD6xiQ6Pwxck7IeE45D2Zof3YGK-QKe-MHD5m1fo9f7ubfNYbV8enjbrbWU5E1OlWuYFV4KYBkB0nCtDOmM7Im0pZMNMZ71qDJNSiM6--xaY9JSDMlQ5vkLsuNWmIecEXo8p7E361pTo2YXu9exCzy40aXRxUaDrIzSabM3OJxNtyH8kY10nWinK3O1xDsr_hwBJZxtmJa4osJN2Q_jvzA8t4XbG |
CODEN | JSPIDN |
Cites_doi | 10.1214/aoms/1177728919 10.1016/0167-9473(88)90017-5 10.1002/bimj.200510212 10.1023/A:1025789500905 10.1111/j.0006-341X.1999.01286.x 10.1093/biomet/64.2.191 10.1016/S0167-7152(01)00203-6 10.2307/2530245 10.1002/sim.4780141709 10.1198/016214502753479374 10.1214/aoms/1177731088 |
ContentType | Journal Article |
Copyright | 2010 Elsevier B.V. 2015 INIST-CNRS |
Copyright_xml | – notice: 2010 Elsevier B.V. – notice: 2015 INIST-CNRS |
DBID | IQODW AAYXX CITATION |
DOI | 10.1016/j.jspi.2010.04.054 |
DatabaseName | Pascal-Francis CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Statistics Mathematics |
EISSN | 1873-1171 |
EndPage | 3325 |
ExternalDocumentID | 10_1016_j_jspi_2010_04_054 22995675 S037837581000234X |
GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1OL 1RT 1~. 1~5 29L 4.4 457 4G. 5GY 5VS 6P2 7-5 71M 8P~ 9JN 9JO AAAKF AAAKG AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO ABAOU ABEHJ ABFNM ABFRF ABJNI ABMAC ABUCO ABXDB ABYKQ ACAZW ACDAQ ACGFO ACGFS ACRLP ADBBV ADEZE ADGUI ADMUD AEBSH AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AI. AIEXJ AIGVJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ APLSM ARUGR ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HAMUX HMJ HVGLF HZ~ H~9 IHE J1W KOM LY1 M26 M41 MHUIS MO0 N9A NHB O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SDF SDG SDP SDS SES SEW SME SPC SPCBC SSB SSD SSW SSZ T5K TN5 UNMZH VH1 WUQ XFK ~G- ABPIF ABPTK IQODW AAXKI AAYXX AFJKZ AKRWK CITATION |
ID | FETCH-LOGICAL-c325t-862f53850a4ee59338a09ac907c933742a9cf84a277559cbf6e27f13e8a18d3 |
IEDL.DBID | AIKHN |
ISSN | 0378-3758 |
IngestDate | Thu Sep 26 16:20:28 EDT 2024 Sun Oct 22 16:08:04 EDT 2023 Fri Feb 23 02:26:33 EST 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Keywords | Group sequential trial 62L12 Power of a confidence interval Multi-stage confidence interval Length of a confidence interval 62F25 Adaptive sample size planning Adaptive design Sample size Probability Non parametric estimation Statistical estimation Probability distribution Statistical decision Multivariate analysis Mean estimation Confidence interval Statistical method Hypothesis test Statistical test Sampling theory Sequential method Point estimation Sample survey |
Language | English |
License | CC BY 4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c325t-862f53850a4ee59338a09ac907c933742a9cf84a277559cbf6e27f13e8a18d3 |
OpenAccessLink | https://eldorado.tu-dortmund.de/bitstream/2003/26015/1/Hartung_Knapp_2009_4.pdf |
PageCount | 9 |
ParticipantIDs | crossref_primary_10_1016_j_jspi_2010_04_054 pascalfrancis_primary_22995675 elsevier_sciencedirect_doi_10_1016_j_jspi_2010_04_054 |
PublicationCentury | 2000 |
PublicationDate | 2010-11-01 |
PublicationDateYYYYMMDD | 2010-11-01 |
PublicationDate_xml | – month: 11 year: 2010 text: 2010-11-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Kidlington |
PublicationPlace_xml | – name: Kidlington |
PublicationTitle | Journal of statistical planning and inference |
PublicationYear | 2010 |
Publisher | Elsevier B.V Elsevier |
Publisher_xml | – name: Elsevier B.V – name: Elsevier |
References | Brown (bib2) 1995; 14 Pocock (bib12) 1977; 64 Brannath, Posch, Bauer (bib1) 2002; 97 Seelbinder (bib13) 1953; 24 O’Brien, Fleming (bib11) 1979; 35 Stein (bib14) 1945; 16 Cox, Hinkley (bib3) 1974 Hartung, Knapp, Sinha (bib7) 2008 . Hartung, Knapp (bib6) 2003; 78 Jennison, Turnbull (bib9) 2000 Lehmacher, Wassmer (bib10) 1999; 55 Hartung (bib4) 2006; 48 Tukey, J.W., 1953. The Problem of Multiple Comparisons. Unpublished manuscript, cited in Hsu (bib8) 1989; 7 Hartung, Böckenhoff, Knapp (bib5) 2003; 113 Seelbinder (10.1016/j.jspi.2010.04.054_bib13) 1953; 24 Cox (10.1016/j.jspi.2010.04.054_bib3) 1974 Hsu (10.1016/j.jspi.2010.04.054_bib8) 1989; 7 Hartung (10.1016/j.jspi.2010.04.054_bib5) 2003; 113 Hartung (10.1016/j.jspi.2010.04.054_bib4) 2006; 48 O’Brien (10.1016/j.jspi.2010.04.054_bib11) 1979; 35 Brown (10.1016/j.jspi.2010.04.054_bib2) 1995; 14 Hartung (10.1016/j.jspi.2010.04.054_bib6) 2003; 78 Lehmacher (10.1016/j.jspi.2010.04.054_bib10) 1999; 55 Hartung (10.1016/j.jspi.2010.04.054_bib7) 2008 Stein (10.1016/j.jspi.2010.04.054_bib14) 1945; 16 10.1016/j.jspi.2010.04.054_bib15 Pocock (10.1016/j.jspi.2010.04.054_bib12) 1977; 64 Brannath (10.1016/j.jspi.2010.04.054_bib1) 2002; 97 Jennison (10.1016/j.jspi.2010.04.054_bib9) 2000 |
References_xml | – volume: 113 start-page: 215 year: 2003 end-page: 237 ident: bib5 article-title: Generalized Cochran–Wald statistics in combining of experiments publication-title: Journal of Statistical Planning and Inference contributor: fullname: Knapp – volume: 35 start-page: 549 year: 1979 end-page: 556 ident: bib11 article-title: A multiple testing procedure for clinical trials publication-title: Biometrics contributor: fullname: Fleming – year: 2000 ident: bib9 article-title: Group Sequential Methods with Applications to Clinical Trials contributor: fullname: Turnbull – volume: 55 start-page: 1286 year: 1999 end-page: 1290 ident: bib10 article-title: Adaptive sample size calculations in group sequential trials publication-title: Biometrics contributor: fullname: Wassmer – volume: 48 start-page: 521 year: 2006 end-page: 535 ident: bib4 article-title: Flexible designs by adaptive plans of generalized Pocock- and O’Brien–Fleming-type and by self-designing clinical trials publication-title: Biometrical Journal contributor: fullname: Hartung – volume: 7 start-page: 79 year: 1989 end-page: 91 ident: bib8 article-title: Sample size computation for designing multiple comparison experiments publication-title: Computational Statistics and Data Analysis contributor: fullname: Hsu – year: 1974 ident: bib3 article-title: Theoretical Statistics contributor: fullname: Hinkley – volume: 64 start-page: 191 year: 1977 end-page: 199 ident: bib12 article-title: Group sequential methods in the design and analysis of clinical trials publication-title: Biometrika contributor: fullname: Pocock – volume: 14 start-page: 1933 year: 1995 end-page: 1940 ident: bib2 article-title: On use of pilot sample for sample size determination publication-title: Statistics in Medicine contributor: fullname: Brown – volume: 16 start-page: 243 year: 1945 end-page: 258 ident: bib14 article-title: A two-sample test for a linear hypothesis whose power is independent of the variance publication-title: Annals of Mathematical Statistics contributor: fullname: Stein – volume: 97 start-page: 236 year: 2002 end-page: 244 ident: bib1 article-title: Recursive combination tests publication-title: Journal of the American Statistical Association contributor: fullname: Bauer – year: 2008 ident: bib7 article-title: Statistical Meta-Analysis with Applications contributor: fullname: Sinha – volume: 24 start-page: 640 year: 1953 end-page: 649 ident: bib13 article-title: On Stein's two-stage sampling scheme publication-title: Annals of Mathematical Statistics contributor: fullname: Seelbinder – volume: 78 start-page: 207 year: 2003 end-page: 221 ident: bib6 article-title: Confidence regions on the variance components in an extended ANOVA model for combining information publication-title: Acta Applicandae Mathematicae contributor: fullname: Knapp – volume: 24 start-page: 640 year: 1953 ident: 10.1016/j.jspi.2010.04.054_bib13 article-title: On Stein's two-stage sampling scheme publication-title: Annals of Mathematical Statistics doi: 10.1214/aoms/1177728919 contributor: fullname: Seelbinder – ident: 10.1016/j.jspi.2010.04.054_bib15 – volume: 7 start-page: 79 year: 1989 ident: 10.1016/j.jspi.2010.04.054_bib8 article-title: Sample size computation for designing multiple comparison experiments publication-title: Computational Statistics and Data Analysis doi: 10.1016/0167-9473(88)90017-5 contributor: fullname: Hsu – volume: 48 start-page: 521 year: 2006 ident: 10.1016/j.jspi.2010.04.054_bib4 article-title: Flexible designs by adaptive plans of generalized Pocock- and O’Brien–Fleming-type and by self-designing clinical trials publication-title: Biometrical Journal doi: 10.1002/bimj.200510212 contributor: fullname: Hartung – volume: 78 start-page: 207 year: 2003 ident: 10.1016/j.jspi.2010.04.054_bib6 article-title: Confidence regions on the variance components in an extended ANOVA model for combining information publication-title: Acta Applicandae Mathematicae doi: 10.1023/A:1025789500905 contributor: fullname: Hartung – volume: 55 start-page: 1286 year: 1999 ident: 10.1016/j.jspi.2010.04.054_bib10 article-title: Adaptive sample size calculations in group sequential trials publication-title: Biometrics doi: 10.1111/j.0006-341X.1999.01286.x contributor: fullname: Lehmacher – year: 2000 ident: 10.1016/j.jspi.2010.04.054_bib9 contributor: fullname: Jennison – volume: 64 start-page: 191 year: 1977 ident: 10.1016/j.jspi.2010.04.054_bib12 article-title: Group sequential methods in the design and analysis of clinical trials publication-title: Biometrika doi: 10.1093/biomet/64.2.191 contributor: fullname: Pocock – year: 1974 ident: 10.1016/j.jspi.2010.04.054_bib3 contributor: fullname: Cox – volume: 113 start-page: 215 year: 2003 ident: 10.1016/j.jspi.2010.04.054_bib5 article-title: Generalized Cochran–Wald statistics in combining of experiments publication-title: Journal of Statistical Planning and Inference doi: 10.1016/S0167-7152(01)00203-6 contributor: fullname: Hartung – volume: 35 start-page: 549 year: 1979 ident: 10.1016/j.jspi.2010.04.054_bib11 article-title: A multiple testing procedure for clinical trials publication-title: Biometrics doi: 10.2307/2530245 contributor: fullname: O’Brien – volume: 14 start-page: 1933 year: 1995 ident: 10.1016/j.jspi.2010.04.054_bib2 article-title: On use of pilot sample for sample size determination publication-title: Statistics in Medicine doi: 10.1002/sim.4780141709 contributor: fullname: Brown – year: 2008 ident: 10.1016/j.jspi.2010.04.054_bib7 contributor: fullname: Hartung – volume: 97 start-page: 236 year: 2002 ident: 10.1016/j.jspi.2010.04.054_bib1 article-title: Recursive combination tests publication-title: Journal of the American Statistical Association doi: 10.1198/016214502753479374 contributor: fullname: Brannath – volume: 16 start-page: 243 year: 1945 ident: 10.1016/j.jspi.2010.04.054_bib14 article-title: A two-sample test for a linear hypothesis whose power is independent of the variance publication-title: Annals of Mathematical Statistics doi: 10.1214/aoms/1177731088 contributor: fullname: Stein |
SSID | ssj0000605 |
Score | 1.939522 |
Snippet | In all empirical or experimental sciences, it is a standard approach to present results, additionally to point estimates, in form of confidence intervals on... |
SourceID | crossref pascalfrancis elsevier |
SourceType | Aggregation Database Index Database Publisher |
StartPage | 3317 |
SubjectTerms | Adaptive sample size planning Exact sciences and technology General topics Group sequential trial Length of a confidence interval Mathematics Multi-stage confidence interval Multivariate analysis Nonparametric inference Parametric inference Power of a confidence interval Probability and statistics Sciences and techniques of general use Statistics |
Title | Adaptive confidence intervals of desired length and power for normal means |
URI | https://dx.doi.org/10.1016/j.jspi.2010.04.054 |
Volume | 140 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEB76uFREtCrWR9mDN0mbx24ex1IstWIvVegtbDe7mKJpsPHqb3c2m0h70IPHBDaPb5dvvoFvZgBu_chTSjFp6d4fFqWCWpErbMtR0k5WjhMIXnb7nPvTFzpbsmUDxnUtjLZVVtxvOL1k6-rOsEJzmKfpcGF7AWZXLHTKpi102YQ2hiNKW9AePTxO5zuEbJyMnnYC4IKqdsbYvNbbPK0cXnRgM_pbfDrM-RZRU2bcxU4MmhzDUSUeych83wk0ZNaFg6efzqvbLnS0ejTNl09hNkp4rvmMYNarzPhQkpYuRzx1ZKNIIrf4_wnR81SKV8KzhOR6bhpBLUsyrWffyLvEcHYGi8n983hqVcMTLOG5rLAwU1FIZszmVEoWYSbK7YgLzIUFXmBCzCOhQsrdIMCkQqyUL91AOZ4MuRMm3jm0sk0mL4AkivthpEIhBUon2-MBQ1bgIVeorHxf9eCuBizOTYeMuLaOrWMNb6zhjW0aI7w9YDWm8d4-x0jhf67r723Az6tcV9fmBuzynw--gk5pCCjLC6-hVXx8yhvUGcWqD83Bl9OvTtM3-UTRsA |
link.rule.ids | 315,786,790,4521,24144,27955,27956,45618,45712 |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LTwIxEJ4gHMQYo6gRH9iDN7Oyj3YfR0IkvC9gwq0p3TZCdNkI_n-nuwuBgx487ibdx9fmm2-Sb2YAnvzI01ozZZneHxalklqRK23L0cqO544TSJF1-xz73Tfan7FZCdrbWhhjqyy4P-f0jK2LO80CzWa6WDQnthdgdsVCJ2vaQmdHUKEscNwyVFq9QXe8R8i5k9EzTgBcUNTO5Dav5TpdFA4v-mIz-lt8Ok3FGlHT-biLvRjUOYezQjySVv59F1BSSQ1ORrvOq-saVI16zJsvX0K_FYvU8BnBrFfn40PJInM54qkjK01itcb_j4mZp7J5JyKJSWrmphHUsiQxevaDfCoMZ1cw6bxO212rGJ5gSc9lGwszFY1kxmxBlWIRZqLCjoTEXFjiBSbEIpI6pMINAkwq5Fz7yg2046lQOGHsXUM5WSXqBkishR9GOpRKonSyPREwZAURCo3Kyvd1HZ63gPE075DBt9axJTfwcgMvtylHeOvAtpjyg33mSOF_rmscbMDuVa5ranMDdvvPBz_CcXc6GvJhbzy4g2pmDshKDe-hvPn6Vg-oOTbzRnGmfgAGkdOg |
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=Adaptive+confidence+intervals+of+desired+length+and+power+for+normal+means&rft.jtitle=Journal+of+statistical+planning+and+inference&rft.au=Hartung%2C+Joachim&rft.au=Knapp%2C+Guido&rft.date=2010-11-01&rft.pub=Elsevier+B.V&rft.issn=0378-3758&rft.eissn=1873-1171&rft.volume=140&rft.issue=11&rft.spage=3317&rft.epage=3325&rft_id=info:doi/10.1016%2Fj.jspi.2010.04.054&rft.externalDocID=S037837581000234X |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0378-3758&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0378-3758&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0378-3758&client=summon |