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Record Nr. |
UNINA9910416126603321 |
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Autore |
Yang Yang <1975, > |
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Titolo |
Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land |
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Pubbl/distr/stampa |
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Boca Raton, Fla. : , : CRC Press, , 2013 |
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ISBN |
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1-000-21873-2 |
0-429-09620-8 |
1-4665-0753-5 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (339 p.) |
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Collana |
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Chapman & Hall/CRC interdisciplinary statistics series |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Cohort analysis |
Age groups - Statistical methods |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion. |
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Sommario/riassunto |
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Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC |
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models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables d |
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