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Age-period-cohort analysis [electronic resource] : new models, methods, and empirical applications / Yang Yang and Kenneth C. Land.

By: Yang, Yang, 1975-Contributor(s): Land, Kenneth CMaterial type: TextTextSeries: Interdisciplinary statisticsPublication details: Boca Raton, Fla. : CRC Press, 2013. Description: xiii, 338 p. : illISBN: 9781466507531 (ebook : PDF)Subject(s): Cohort analysis | Age groups -- Statistical methodsGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.
Contents:
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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"A Chapman & Hall book."

Includes bibliographical references and index.

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.

Also available in print edition.

Mode of access: World Wide Web.

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