Age-period-cohort analysis : new models, methods, and empirical applications

Age-period-cohort analysis new models, methods, and empirical applications

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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Bibliographic Details
Other Authors: Yang, Yang, 1975- author (author), Land, Kenneth C., author
Format: eBook
Language:Inglés
Published: Boca Raton, FL : CRC Press LLC 2016.
[2013]
Edition:1st edition
Series:Interdisciplinary statistics.
Subjects:
Cohort analysis.
Age groups > Statistical methods.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009428401806719
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.

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