Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists.
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| Title: | Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists. |
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| Authors: | Pacca L; Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th St 2nd floor, San Francisco, CA 94158, United States., Dang KV; University of Southern California, School of Gerontology, 3715 Mcclintock Ave., University Park Campus, Los Angeles CA 90089, United States., Koenig L; Society of Family Planning, 757 East 20th Avenue, Suite 370-232 Denver, CO 80205, United States., Duarte CDP; Stanford University School of Medicine, Department of Epidemiology and Population Health, 1701 Page Mill Road, 2nd Floor, Palo Alto, CA 9430, United States., Gaye SA; Olympia, Washington State, United States., Harrati A; Kaiser Permanente Community and Social Health, 1800 Harrison St., 11th Floor, Oakland CA 94612, California., Vable AM; Washington University in St. Louis School of Public Health, 1 Brookings Drive, St. Louis, MO 63130.; Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 490 Illinois St., San Francisco CA 94158, United States. |
| Source: | American journal of epidemiology [Am J Epidemiol] 2026 Jun 03; Vol. 195 (6), pp. 1707-1718. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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