A series of six webinars related to designing clinical trials to include patient-reported outcomes. The videos in the series may be viewed in any order.
Dates: August 19-September 4, 2014
Length: 30 Minutes-1 Hour (Each Session)
Offered by: National Cancer Institute (NCI)
Presenter: David Cella, Ph.D., Northwestern University Feinberg School of Medicine; Bryce B Reeve, Ph.D., University of North Carolina Gillings School of Global Public Health; Ethan M Basch, M.D., University of North Carolina Gillings School of Global Public Health; Madeleine King, Ph.D., The University of Sydney; Michelle Naughton, Ph.D., Wake Forest School of Medicine; Lari Wenzel, Ph.D., University of California, Irvine; Amylou Dueck, Ph.D., Mayo Clinic; Diane Fairclough, Dr.P.H., University of Colorado, Denver; Carol M Moinpour, Ph.D., Fred Hutchinson Cancer Research Center; Andrew Bottomley, Ph.D., European Organisation for Research and Treatment of Cancer; Michael Brundage, M.D., Queen’s University; and Melaine Calvert, Ph.D., University of Birmingham
Many instruments in HealthMeasures are based on item response theory (IRT). IRT is a family of mathematical models that assumes that responses on a set of items or questions are related to an unmeasured “trait”. An example of such a trait may be physical function. IRT models assume a person’s level on physical function (e.g., high vs. low) will predict that person’s probability of endorsing each specific item.
Length: 10 Minutes (Each Video)
Offered by: National Cancer Institute (NCI)
Presenter: Karon F. Cook, Ph.D., Northwestern University Feinberg School of Medicine, and Nan Rothrock, Ph.D., Northwestern University
In this supplemental journal issue, Hughes et al., extend existing analysis and sample size estimation guidance for addressing treatment effects that vary over time to cohort stepped-wedge group-randomized trial designs, using the example of a trial to evaluate a multilevel intervention to address health disparities in blood pressure control.
Dates: July 2024
Offered by: Prevention Science: Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities
Presenter: Hughes et al.
