Improved group sequential Holm procedures for testing multiple correlated hypotheses over time.
Saved in:
| Title: | Improved group sequential Holm procedures for testing multiple correlated hypotheses over time. |
|---|---|
| Authors: | Öhrn F; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden., Niewczas J; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden., Burman CF; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden. |
| Source: | Journal of biopharmaceutical statistics [J Biopharm Stat] 2022 Mar; Vol. 32 (2), pp. 230-246. Date of Electronic Publication: 2021 Oct 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5711 (Electronic) Linking ISSN: 10543406 NLM ISO Abbreviation: J Biopharm Stat Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34686107 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Improved group sequential Holm procedures for testing multiple correlated hypotheses over time. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Öhrn+F%22">Öhrn F</searchLink>; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Niewczas+J%22">Niewczas J</searchLink>; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Burman+CF%22">Burman CF</searchLink>; Early Biometrics and Statistical Innovation, Data Science and Artificial Intelligence, R&D, AstraZeneca, Gothenburg, Sweden. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229200436%22">Journal of biopharmaceutical statistics</searchLink> [J Biopharm Stat] 2022 Mar; Vol. 32 (2), pp. 230-246. <i>Date of Electronic Publication: </i>2021 Oct 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9200436 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5711 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210543406%22">10543406 </searchLink><i>NLM ISO Abbreviation: </i>J Biopharm Stat <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34686107 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10543406.2021.1979574 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 230 Titles: – TitleFull: Improved group sequential Holm procedures for testing multiple correlated hypotheses over time. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Öhrn F – PersonEntity: Name: NameFull: Niewczas J – PersonEntity: Name: NameFull: Burman CF IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2022 Mar Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1520-5711 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Journal of biopharmaceutical statistics Type: main |
| ResultId | 1 |
