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DTSTART;TZID=America/New_York:20240927T110000
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UID:34726-1727434800-1727438400@rethinkingclinicaltrials.org
SUMMARY:Implications of Informative Cluster Size for the Design and Analysis of Cluster Randomized Trials
DESCRIPTION:Methods: Mind the Gap Webinar Series \nImplications of Informative Cluster Size for the Design and Analysis of Cluster Randomized Trials \nPresented by Brennan Kahan\, PhD \nSeptember 27\, 2024\n11:00 am-12:00 noon ET \nRegister now \nAbout the Webinar\nCluster randomized trials involve randomizing groups of participants\, such as schools\, hospitals\, or villages\, between different interventions. Because participants belonging to the same cluster are often correlated\, statistical methods\, such as mixed-effects models or generalized estimating equations\, are required to account for this correlation during analysis. However\, it is being increasingly recognized that these methods may be biased when outcomes or treatment effects differ between larger and smaller clusters (i.e.\, informative cluster size). This talk focuses on the implications of informative cluster size for cluster randomized trials\, including choice of estimand\, choice of analysis method\, and ways to evaluate assumptions. \nAbout Brennan Kahan\nDr. Brennan Kahan is a Principal Research Fellow at the Medical Research Council Clinical Trials Unit at University College London. Dr. Kahan’s research program is focused on developing methods to improve the design\, analysis\, and reporting of randomized trials. His major research interests include using estimands to improve the interpretability and validity of randomized trials; evaluating statistical methods for complex trial designs\, such as cluster\, non-inferiority\, factorial\, and rerandomization trials; and improving the reporting of randomized trials. His recent methods research includes the development of the Consolidated Standards of Reporting Trials extension for factorial trials\, developing estimands and robust estimators for cluster randomized trials\, and evaluating and comparing estimation methods for different intercurrent event strategies. \n\nCan’t be there? A recording of this webinar will be available approximately 2 weeks after the session. You can view the full archive of previous Methods: Mind the Gap webinars on the Office of Disease Prevention website. \nThis event is open to the public and there will be an opportunity to ask questions at the end of the presentation. Please feel free to share this information widely. \nThis webinar will be captioned in real time. Individuals needing reasonable accommodations should email MindtheGap@nih.gov. Requests should be made at least 5 business days before the event.
URL:https://rethinkingclinicaltrials.org/event/implications-of-informative-cluster-size-for-the-design-and-analysis-of-cluster-randomized-trials/
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UID:34704-1727442000-1727445600@rethinkingclinicaltrials.org
SUMMARY:Grand Rounds September 27\, 2024: Azithromycin for Childhood Mortality: Randomizing Entire Countries (Tom Lietman\, MD)
DESCRIPTION:Speaker: \nTom Lietman\, MD\nDirector\nFrancis I. Proctor Foundation\nUniversity of California\, San Francisco \nTitle: Azithromycin for Childhood Mortality: Randomizing Entire Countries \nDate: Friday\, September 27\, 2024\, 1:00-2:00 p.m. ET \nPlease click the link below to join the webinar: \nhttps://duke.zoom.us/j/93281345354?pwd=k60xHNNqlBhr8uD2D6ICW8bHn1dKf7.1 \nPasscode: 614354 \nOne tap mobile \n+16468769923\,\,93281345354#\,\,\,\,*614354# US (New York) \n+16469313860\,\,93281345354#\,\,\,\,*614354# US \nAudio Only Options \n+1 646 876 9923 \n+1 646 931 3860 \nInternational numbers available: https://duke.zoom.us/u/adfwKrKIDk \nWebinar ID: 932 8134 5354\nPasscode: 614354
URL:https://rethinkingclinicaltrials.org/event/grand-rounds-september-27-2024-azithromycin-for-childhood-mortality-randomizing-entire-countries-tom-lietman-md/
CATEGORIES:Grand Rounds Event
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