Social scientists are demanding more analytic studies of social survey data in order to examine a variety of emerging issues. Answering this need, Analyzing Complex Survey Data offers an effective means of examining and analyzing complex surveys -- and how to overcome problems that often arise. It includes discussions on the choices involved in variance estimates, simple random sampling without replacement, stratified random sampling and two-stage cluster sampling, and outlines the different computer programs that are currently available.

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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.

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Analyzing Complex Survey Data (Qualitative Applications in the Social Sciences Series, 71)

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