Age-Period-Cohort Analysis

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A01=Kenneth C. Land
A01=Yang Yang
accelerated longitudinal panel studies
advanced age cohort modeling applications
age patterns and temporal trends
Age Trajectories
age-period-cohort accounting
Age-Period-Cohort Analysis
aggregate population rates data design in cancer incidence and mortality
APC Analysis
APC and accelerated longitudinal panel studies
APC and age-by-time period tables of population rates
APC and repeated cross-section sample surveys
APC Model
APC models
APC models and methods for research designs
ARIMA Model
Author_Kenneth C. Land
Author_Yang Yang
birth
Birth Cohort
Birth Record Data
Category=JMB
Category=PBT
Category=PS
Cohort Effects
cohorts
Conventional Linear Regression Models
cross-sectional sample surveys
effect
Effect Coefficients
Effect Coefficients Estimated
effects
empirical application of APC analysis
empirical applications
epidemiological trend analysis
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics
generalized
generalized linear mixed model
Generalized linear mixed models
GLMM
GLMM Framework
growth curve analysis
HAPC-CCREM
HAPC-GLMM statistical modeling
HAPC-GLMM statistical modelling
Hierarchical age-period-cohort analysis
identification
Individual Level Covariates
Intercohort Differences
Intrinsic Estimator
linear
longitudinal survey analysis
Lung Cancer Incidence
mixed
mixed effects models
model
Model Identification Problem
Monte Carlo simulation
PCR Estimator
Period Random Effects
Person Level Covariates
population health measurement
problem
quantitative demography
REML Estimate
REML Estimator
research designs
Ridge Estimator
SAS Proc GLIMMIX
Self-rated Health
sociological research methods
statistical modeling
statistical modeling techniques

Product details

  • ISBN 9781032477503
  • Weight: 800g
  • Dimensions: 156 x 234mm
  • Publication Date: 21 Jan 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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 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 develop along the age, period, and cohort dimensions.

The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends.

Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page.

Yang Yang is an associate professor in the Department of Sociology and Lineberger Comprehensive Cancer Center and a faculty fellow in the Carolina Population Center at the University of North Carolina-Chapel Hill. Dr. Yang’s research encompasses the areas of demography, medical sociology, cancer, and quantitative methodology. Her work has been featured in numerous media outlets, including the American Sociological Review, CNN, Associated Press, Reuters, Washington Post, and Chicago Tribune. She received a Ph.D. in sociology from Duke University.

Kenneth C. Land is a John Franklin Crowell professor of sociology and faculty director of the Center for Population Health and Aging at Duke University. Dr. Land is a fellow of the American Statistical Association, the Sociological Research Association, the American Association for the Advancement of Science, the International Society for Quality-of-Life Studies, and the American Society of Criminology. His research focuses on contemporary social trends and quality-of-life measurement, social problems, demography, criminology, organizations, and mathematical and statistical models and methods for the study of social and demographic processes. He received a Ph.D. in sociology and mathematics from the University of Texas at Austin.

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