Decomposition of longitudinal disparities: an application to the fetal growth-singletons study.
Saved in:
| Title: | Decomposition of longitudinal disparities: an application to the fetal growth-singletons study. |
|---|---|
| Authors: | Lee SK; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, United States.; Department of Applied Statistics, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea., Kim S; Department of Statistics, Miami University, 326 Data Science Building, Oxford, OH 45056, United States., Kim MO; Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States., Grantz KL; Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710 Rockledge Drive, Bethesda, MD 20817, United States., Hong HG; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, United States. |
| Source: | Biostatistics (Oxford, England) [Biostatistics] 2025 Dec 31; Vol. 26 (1). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 100897327 Publication Model: Print Cited Medium: Internet ISSN: 1468-4357 (Electronic) Linking ISSN: 14654644 NLM ISO Abbreviation: Biostatistics 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: 41388844 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Decomposition of longitudinal disparities: an application to the fetal growth-singletons study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lee+SK%22">Lee SK</searchLink>; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, United States.; Department of Applied Statistics, Konkuk University, 120, Neungdong-ro, Gwangjin-gu, Seoul 05029, South Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Statistics, Miami University, 326 Data Science Building, Oxford, OH 45056, United States.<br /><searchLink fieldCode="AU" term="%22Kim+MO%22">Kim MO</searchLink>; Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, San Francisco, CA 94158, United States.<br /><searchLink fieldCode="AU" term="%22Grantz+KL%22">Grantz KL</searchLink>; Epidemiology Branch, Division of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, 6710 Rockledge Drive, Bethesda, MD 20817, United States.<br /><searchLink fieldCode="AU" term="%22Hong+HG%22">Hong HG</searchLink>; Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20892, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100897327%22">Biostatistics (Oxford, England)</searchLink> [Biostatistics] 2025 Dec 31; Vol. 26 (1). – 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="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100897327 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1468-4357 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214654644%22">14654644 </searchLink><i>NLM ISO Abbreviation: </i>Biostatistics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41388844 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/biostatistics/kxaf044 Languages: – Code: eng Text: English Titles: – TitleFull: Decomposition of longitudinal disparities: an application to the fetal growth-singletons study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee SK – PersonEntity: Name: NameFull: Kim S – PersonEntity: Name: NameFull: Kim MO – PersonEntity: Name: NameFull: Grantz KL – PersonEntity: Name: NameFull: Hong HG IsPartOfRelationships: – BibEntity: Dates: – D: 31 M: 12 Text: 2025 Dec 31 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1468-4357 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: Biostatistics (Oxford, England) Type: main |
| ResultId | 1 |