Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention.

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Bibliographic Details
Title: Endpoint assessment via routinely collected data generates estimates comparable to randomized controlled trial data: analysis of a cluster-randomized trial on fall injury prevention.
Authors: Ganz DA; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Geriatric Research, Education and Clinical Center, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA; Health Care Division, RAND, Santa Monica, CA, USA. Electronic address: dganz@mednet.ucla.edu., Greene EJ; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA., Latham NK; Boston Claude D. Pepper Older Americans Independence Center, Research Program in Men's Health: Aging and Metabolism, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Kane M; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA., Min LC; Division of Geriatric and Palliative Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Ann Arbor VA Medical Center, Center for Clinical Management Research and Geriatric Research Education Clinical Center (GRECC), Ann Arbor, MI, USA., Gill TM; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Reuben DB; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA., Peduzzi P; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA., Esserman D; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Source: Journal of clinical epidemiology [J Clin Epidemiol] 2025 May; Vol. 181, pp. 111718. Date of Electronic Publication: 2025 Feb 10.
Publication Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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