The October 13, 2017 Workshop on Quantitative Methods in Education, Health, and the Social Sciences (QMeHSS) will take place from 10:30am - 12:00pm in the Social Science Research Building Conference room 302. Dulal K. Bhaumik from the University of Illinois at Chicago will be leading this workshop. The Social Science Research Building is located at 1226 East 59th Street , Chicago, IL.
Sample Size Determination for Multilevel Hierarchical Designs Using Generalized Linear Mixed Models
Dulal K. Bhaumik
Director, Biostatical Research Center
Professor of Biostatistics, Psychiatry and Bioengineering at the
University of Illinois at Chicago
Abstract: A unified statistical methodology of sample size determination is developed for hierarchical designs that are frequently used in many areas, particularly in medical and health research studies. The solid foundation of the proposed methodology opens a new horizon for power analysis in presence of various adverse conditions. Important features such as joint signicance testing, unequal allocations of clusters across intervention groups, and differential attrition rates over follow up time points are integrated to address some useful questions that investigators often encounter while conducting such studies. Proposed methodology is shown to perform well in terms of maintaining type I error rates and achieving the target power under various conditions. Proposed method is also shown to be robust with respect to violation of distributional assumptions of random-effects.
Faculty Profile: Dulal is a Professor of Psychiatry, Biostatistics and Bioengineering at the University of Illinois at Chicago. He received his BS in Statistics from Calcutta University, his MS in Statistics from the Indian Statistical Institute, and his PhD in the same field from the University of Maryland. Before joining UIC, he served as a Professor of Statistics in the Department of Mathematics and Statistics at University of South Alabama. Dulal's interests include Environmental Statistics, Statistical Problems in Psychiatry, Biostatistics, Design of Experiments, and Statistical Inferences. Currently he is investigating sample size determination and power computation for fMRI data. He has conducted research, taught and published extensively in these areas. Dulal and Professor Robert D Gibbons received the American Statistical Association's W.J. Youden Award in 2002 and 2006 for Inter laboratory Testing in recognition of the contribution to the analysis of inter laboratory calibration experiments. In 2009, one of his articles received the Outstanding Statistical Application Award from the American Statistical Association.
He has conducted research, taught and published extensively in these areas. Dulal and Professor Robert D Gibbons received the American Statistical Association's W.J. Youden Award in 2002 and 2006 for Inter-laboratory Testing in recognition of the contribution to the analysis of inter-laboratory calibration experiments. In 2009, one of his articles received the Outstanding Statistical Application Award from the American Statistical Association.
In 2008, Dulal was elected a Fellow of the American Statistical Association for his outstanding contributions to the development of Optimal Designs; Construction of Prediction and Tolerance Limits for Environmental Data; Hypotheses Testing for Mental Health Research; Development of Statistical Methodology and Dissemination of Software for Analyzing Functional Magnetic Resonance Imaging (fMRI) Data.
His research has been funded by the National Institute of Mental Health. He is also a co-author of the Wiley book Statistical Methods for Ground Water Monitoring, 2nd Edition.