This seminar will present a practical overview of strategies for specifying and evaluating mixed (or multilevel) models for clustered and longitudinal data. Emphasis will be placed on concepts, data structure, and software considerations rather than mathematical theory.
Brady West is a Research Professor in the Survey Research Center of the Institute for Social Research. An elected fellow of the American Statistical Association, his current research focuses on selection bias in surveys, responsive and adaptive survey design, total survey error, the analysis of clustered and longitudinal data, and modern approaches to survey data collection. He has published more than 180 articles in peer-reviewed journals and is an author or editor of five books on applied statistics and survey methodology, including the third edition of Linear Mixed Models: A Practical Guide using Statistical Software (with Kathy Welch and Andrzej Galecki).
Kathy Welch is retired from the University of Michigan, where she worked as a senior statistician and statistical software consultant at the Center for Statistical Consultation and Research (CSCAR) for more than 35 years. She received a B.A. in sociology (1969), an M.P.H. in epidemiology and health education (1975), and an M.S. in biostatistics (1984) from the University of Michigan. She consulted with researchers and students on the use of SAS, SPSS, Stata, and HLM for analysis of clustered and longitudinal data. She co-developed and co-taught a course on the analysis of clustered and longitudinal data at the University of Michigan School of Public Health. She also developed and taught short courses on the analysis of linear mixed models and generalized linear models using SAS. She is a co-author, along with Brady West and Andrzej Galecki, of the book Linear Mixed Models: A Practical Guide Using Statistical Software, the third edition of which was published by CRC Press in June, 2022.