A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials.

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Title: A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials.
Authors: Wang W; Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Tong G; Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.; Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA., Hirani SP; School of Health Sciences, City University London, London, UK., Newman SP; School of Health Sciences, City University London, London, UK.; Division of Medicine, University College London, London, UK., Halpern SD; Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Small DS; Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA., Li F; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.; Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA., Harhay MO; Clinical Trials Methods and Outcomes Lab, Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Source: Statistics in medicine [Stat Med] 2024 Jan 15; Vol. 43 (1), pp. 16-33. Date of Electronic Publication: 2023 Nov 20.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1097-0258
DOI:10.1002/sim.9939