Yang Yang is an associate professor in the Department of Sociology and Lineberger Comprehensive Cancer Center and a faculty fellow in the Carolina Population Center at the University of North Carolina-Chapel Hill. Dr. Yang’s research encompasses the areas of demography, medical sociology, cancer, and quantitative methodology. Her work has been featured in numerous media outlets, including the American Sociological Review, CNN, Associated Press, Reuters, Washington Post, and Chicago Tribune. She received a Ph.D. in sociology from Duke University.Kenneth C. Land is a John Franklin Crowell professor of sociology and faculty director of the Center for Population Health and Aging at Duke University. Dr. Land is a fellow of the American Statistical Association, the Sociological Research Association, the American Association for the Advancement of Science, the International Society for Quality-of-Life Studies, and the American Society of Criminology. His research focuses on contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes. He received a Ph.D. in sociology and mathematics from the University of Texas at Austin.

" … presents all the important background and new developments in one place, with examples and software for easy applications. I would recommendthis book to anyone working in various research disciplines that rely on APC analysis."—Journal of the American Statistical Association

• Introduction. Why Cohort Analysis? APC Analysis of Data from Three Common Research Designs. Formalities of the Age-Period-Cohort Analysis Conundrum and a Generalized Linear Mixed Models (GLMM) Framework. APC Accounting/Multiple Classification Model, Part I: Model Identification and Estimation Using the Intrinsic Estimator. APC Accounting/Multiple Classification Model, Part II: Empirical Applications. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part I: The Basics. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part II: Advanced Analyses. Mixed Effects Models: Hierarchical APC-Growth Curve Analysis of Prospective Cohort Data. Directions for Future Research and Conclusion. Index.

Yang Yang is an associate professor in the Department of Sociology and Lineberger Comprehensive Cancer Center and a faculty fellow in the Carolina Population Center at the University of North Carolina-Chapel Hill. Dr. Yang’s research encompasses the areas of demography, medical sociology, cancer, and quantitative methodology. Her work has been featured in numerous media outlets, including the American Sociological Review, CNN, Associated Press, Reuters, Washington Post, and Chicago Tribune. She received a Ph.D. in sociology from Duke University.Kenneth C. Land is a John Franklin Crowell professor of sociology and faculty director of the Center for Population Health and Aging at Duke University. Dr. Land is a fellow of the American Statistical Association, the Sociological Research Association, the American Association for the Advancement of Science, the International Society for Quality-of-Life Studies, and the American Society of Criminology. His research focuses on contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes. He received a Ph.D. in sociology and mathematics from the University of Texas at Austin.

" … presents all the important background and new developments in one place, with examples and software for easy applications. I would recommendthis book to anyone working in various research disciplines that rely on APC analysis."—Journal of the American Statistical Association

• Introduction. Why Cohort Analysis? APC Analysis of Data from Three Common Research Designs. Formalities of the Age-Period-Cohort Analysis Conundrum and a Generalized Linear Mixed Models (GLMM) Framework. APC Accounting/Multiple Classification Model, Part I: Model Identification and Estimation Using the Intrinsic Estimator. APC Accounting/Multiple Classification Model, Part II: Empirical Applications. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part I: The Basics. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part II: Advanced Analyses. Mixed Effects Models: Hierarchical APC-Growth Curve Analysis of Prospective Cohort Data. Directions for Future Research and Conclusion. Index.

Yang Yang is an associate professor in the Department of Sociology and Lineberger Comprehensive Cancer Center and a faculty fellow in the Carolina Population Center at the University of North Carolina-Chapel Hill. Dr. Yang’s research encompasses the areas of demography, medical sociology, cancer, and quantitative methodology. Her work has been featured in numerous media outlets, including the American Sociological Review, CNN, Associated Press, Reuters, Washington Post, and Chicago Tribune. She received a Ph.D. in sociology from Duke University.Kenneth C. Land is a John Franklin Crowell professor of sociology and faculty director of the Center for Population Health and Aging at Duke University. Dr. Land is a fellow of the American Statistical Association, the Sociological Research Association, the American Association for the Advancement of Science, the International Society for Quality-of-Life Studies, and the American Society of Criminology. His research focuses on contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes. He received a Ph.D. in sociology and mathematics from the University of Texas at Austin.

" … presents all the important background and new developments in one place, with examples and software for easy applications. I would recommendthis book to anyone working in various research disciplines that rely on APC analysis."—Journal of the American Statistical Association

• Introduction. Why Cohort Analysis? APC Analysis of Data from Three Common Research Designs. Formalities of the Age-Period-Cohort Analysis Conundrum and a Generalized Linear Mixed Models (GLMM) Framework. APC Accounting/Multiple Classification Model, Part I: Model Identification and Estimation Using the Intrinsic Estimator. APC Accounting/Multiple Classification Model, Part II: Empirical Applications. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part I: The Basics. Mixed Effects Models: Hierarchical APC-Cross-Classified Random Effects Models (HAPC-CCREM), Part II: Advanced Analyses. Mixed Effects Models: Hierarchical APC-Growth Curve Analysis of Prospective Cohort Data. Directions for Future Research and Conclusion. Index.