Analyzing Complex Survey Data (Quantitative Applications in the Social Sciences)

This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new software and provides an introduction to the model-based analysis that can be useful analyzing well-designed, relatively small-scale social surveys.

Experience & Interest
Teaching and research in public health (Survey design and analysis in mental health and nutrition, demographic analysis of infant mortality and reproductive health, biostatical and epidemiologic analysis of cancer registry data and environmental surveys, statistical methods in epidemiology)

Ron Forthofer has a B.S. in mathematics from the University of Dayton, and an M.S. in mathematical statistics and a Ph.D. in biostatistics from the University of North Carolina at Chapel Hill.  He is a retired professor of biostatistics from the University of Texas School of Public Health in Houston.  He also spent time with the National Center for Health Statistics and with Hoechst Pharmaceutical in Germany.  Since Ron retired and moved to Colorado in 1991, he has been an activist for peace and social justice, working on health care, trade issues, international peace, and Social Security.  In his spare time, he ran for Congress in 2000 and for Governor in 2002 for the Green Party.