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- W3042894614 abstract "Kochovska et al. 1 Kochovska S. Huang C. Johnson M. et al. Intention-to-treat analyses for randomized controlled trials in hospice/palliative care: the case for analyses to be of people exposed to the intervention. J Pain Symptom Manage. 2020; 59: 637 Abstract Full Text Full Text PDF PubMed Scopus (8) Google Scholar raised an important issue, namely how to handle missing outcome data in a trial. They focus on the scenario of dropout before initiating treatment in the context of palliative care; a context where patient dropout is particularly high and sample sizes are small. The authors focus on two ways of handling missing outcome data, namely assuming that participants with missing data were nonresponders and excluding these participants from the analysis. Intention-to-Treat Analyses for Randomized Controlled Trials in Hospice/Palliative Care: The Case for Analyses to be of People Exposed to the InterventionJournal of Pain and Symptom ManagementVol. 59Issue 3PreviewMinimizing bias in randomized controlled trials (RCTs) includes intention-to-treat analyses. Hospice/palliative care RCTs are constrained by high attrition unpredictable when consenting, including withdrawals between randomization and first exposure to the intervention. Such withdrawals may systematically bias findings away from the new intervention being evaluated if they are considered nonresponders. Full-Text PDF Open ArchiveLetter in Response to Grobler AC, Lee K. Intention-To-Treat Analyses for Randomized Controlled Trials in Hospice/Palliative Care Enhanced by Principled Methods to Handle Missing DataJournal of Pain and Symptom ManagementVol. 60Issue 4PreviewThe authors thank Drs. Grobler and Lee for their comments in response to the article on intention-to-treat (ITT) analyses for randomized controlled trials (RCTs) in frail populations such as hospice/palliative care patients.1,2 Full-Text PDF" @default.
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- W3042894614 title "Intention-to-Treat Analyses for Randomized Controlled Trials in Hospice/Palliative Care Enhanced by Principled Methods to Handle Missing Data" @default.
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- W3042894614 doi "https://doi.org/10.1016/j.jpainsymman.2020.06.038" @default.
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