Assessing the use of GEE methods for analyzing binary outcomes in family studies: the Strong Heart Family Study.

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Bibliographic Details
Title: Assessing the use of GEE methods for analyzing binary outcomes in family studies: the Strong Heart Family Study.
Authors: Chen X; KBR Inc, Houston, Texas, USA., Zhang Y; Department of Biostatistics and Epidemiology (BSE), The University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, Oklahoma, USA., Fretts AM; Cardiovascular Health Research Unit, Department of Epidemiology. University of Washington, Seattle, Washington, USA., Ali T; Center for American Indian Health Research, BSE, OUHSC, Oklahoma City, Oklahoma, USA., Umans JG; MedStar Health Research Institute, Hyattsville, Maryland, USA.; Georgetown-Howard University, Washington, DC, USA., Devereux RB; Cardiology, Weill Cornell Medical Center, Starr Pavilion, New York, New York, USA., Lee ET; Center for American Indian Health Research, BSE, OUHSC, Oklahoma City, Oklahoma, USA., Cole SA; Population Health, Texas Biomedical Research Institute, San Antonio, Texas, USA., Zhao YD; Department of Biostatistics and Epidemiology (BSE), The University of Oklahoma Health Sciences Center (OUHSC), Oklahoma City, Oklahoma, USA.
Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2025 May; Vol. 35 (3), pp. 424-436. Date of Electronic Publication: 2024 Mar 29.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
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
Database: MEDLINE Ultimate
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