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Age-Period-Cohort Analysis

New Models, Methods, and Empirical Applications
Book on DemandKartoniert, Paperback
352 Seiten
Englisch
Taylor & Franciserschienen am21.01.2023
This book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportionsmehr
Verfügbare Formate
BuchGebunden
EUR144,50
Book on DemandKartoniert, Paperback
EUR54,60

Produkt

KlappentextThis book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions
Details
ISBN/GTIN978-1-032-47750-3
ProduktartBook on Demand
EinbandartKartoniert, Paperback
Erscheinungsjahr2023
Erscheinungsdatum21.01.2023
ReiheChapman & Hall/CRC Interdisciplinary Statistics
Reihen-Nr.Statistics
Seiten352 Seiten
SpracheEnglisch
Gewicht537 g
Illustrationen46 SW-Abb.
Artikel-Nr.10489976

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
" ... 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 Associationmehr

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