Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials.
Saved in:
| Title: | Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials. |
|---|---|
| Authors: | Diaz FJ; Department of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA. |
| Source: | Statistical methods in medical research [Stat Methods Med Res] 2024 Aug; Vol. 33 (8), pp. 1355-1375. Date of Electronic Publication: 2024 Aug 06. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res Subsets: 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: 39105416 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Diaz+FJ%22">Diaz FJ</searchLink>; Department of Biostatistics & Data Science, The University of Kansas Medical Center, Kansas City, KS, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2024 Aug; Vol. 33 (8), pp. 1355-1375. <i>Date of Electronic Publication: </i>2024 Aug 06. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39105416 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/09622802241259172 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1355 Titles: – TitleFull: Measuring the individualization potential of treatment individualization rules: Application to rules built with a new parametric interaction model for parallel-group clinical trials. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Diaz FJ IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2024 Aug Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1477-0334 Numbering: – Type: volume Value: 33 – Type: issue Value: 8 Titles: – TitleFull: Statistical methods in medical research Type: main |
| ResultId | 1 |