Design and Analytical Issues in Cluster Randomized Trials
Date: 24 April 2020, Friday
Time: 10 am
Speaker: Professor Melanie Bell (University of Arizona)
Abstract:
Cluster randomized trials (CRTs) are studies where groups of people, rather than individuals, are randomly allocated to intervention or control. While these type of designs can be appropriate and useful for many research settings, care must be taken to correctly design and analyze them. This talk will give an overview of cluster trials, and various methodological research projects on cluster trials that I’ve been undertaken: designing CRTs, the use of GEE with small number of clusters, handling missing data in CRTs, and analysis using mixed models. I will demonstrate methods with an example from a recently completed trial on reducing cardiovascular risk among Mexican diabetics.
Bio:
Melanie Bell is a Professor in the Department of Epidemiology and Biostatistics at the College of Public Health, University of Arizona, and the Head of the Biostatistics and Design core at the Center for Health Disparities Research. She is the Vice-Chair of the Statistics Graduate Inter-Disciplinary Program, and holds an adjunct position at the University of Sydney. Her research focus is statistical methods for handling missing data in individual and cluster randomized trials, and the design and analysis of studies using patient reported outcomes. She is currently engaged in collaborative research in the fields of health disparities, chronic disease prevention, tobacco cessation and psycho-oncology. She has over 140 peer reviewed papers including 35 that are methodological. She has served on several data and safety monitoring boards, research advisory committees and grant review sections. Following an AB and MS in mathematics, Dr. Bell earned her PhD in Biostatistics from the University of Colorado Health Sciences Center in 2002.
Link: https://au.bbcollab.com/guest/fcf219c74ac743e89565a9e6e8d349a9
Video of the seminar:
Date: 24 April 2020, Friday
Time: 10 am
Speaker: Professor Melanie Bell (University of Arizona)
Abstract:
Cluster randomized trials (CRTs) are studies where groups of people, rather than individuals, are randomly allocated to intervention or control. While these type of designs can be appropriate and useful for many research settings, care must be taken to correctly design and analyze them. This talk will give an overview of cluster trials, and various methodological research projects on cluster trials that I’ve been undertaken: designing CRTs, the use of GEE with small number of clusters, handling missing data in CRTs, and analysis using mixed models. I will demonstrate methods with an example from a recently completed trial on reducing cardiovascular risk among Mexican diabetics.
Bio:
Melanie Bell is a Professor in the Department of Epidemiology and Biostatistics at the College of Public Health, University of Arizona, and the Head of the Biostatistics and Design core at the Center for Health Disparities Research. She is the Vice-Chair of the Statistics Graduate Inter-Disciplinary Program, and holds an adjunct position at the University of Sydney. Her research focus is statistical methods for handling missing data in individual and cluster randomized trials, and the design and analysis of studies using patient reported outcomes. She is currently engaged in collaborative research in the fields of health disparities, chronic disease prevention, tobacco cessation and psycho-oncology. She has over 140 peer reviewed papers including 35 that are methodological. She has served on several data and safety monitoring boards, research advisory committees and grant review sections. Following an AB and MS in mathematics, Dr. Bell earned her PhD in Biostatistics from the University of Colorado Health Sciences Center in 2002.
Link: https://au.bbcollab.com/guest/fcf219c74ac743e89565a9e6e8d349a9
Video of the seminar: