Age-period-cohort analysis : : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land.
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 models and methods for three...
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| Superior document: | Chapman & Hall/CRC interdisciplinary statistics series |
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| VerfasserIn: | |
| TeilnehmendeR: | |
| Place / Publishing House: | Boca Raton, Fla. : : CRC Press,, 2013. |
| Year of Publication: | 2013 |
| Edition: | 1st edition |
| Language: | English |
| Series: | Interdisciplinary statistics.
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| Physical Description: | 1 online resource (339 p.) |
| Notes: | A Chapman & Hall book. |
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Table of 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.