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dc.contributor.authorYang, Yang
dc.contributor.authorLand, Kenneth C.
dc.date.accessioned2020-09-21T13:36:35Z
dc.date.available2020-09-21T13:36:35Z
dc.date.issued2013
dc.identifierONIX_20200921_9781466507531_35
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/41675
dc.description.abstractThis 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, repeated cross-section sample surveys, and accelerated longitudinal panel studies. They 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statisticsen_US
dc.subject.otherPsychological Methods and Statistics
dc.subject.otherStatistics for the Biological Sciences
dc.subject.otherStatistical Theory and Methods
dc.subject.otherSTATS
dc.subject.otherSCI-TECH
dc.subject.otherSTM
dc.subject.otherbirth
dc.subject.othercohorts
dc.subject.othereffect
dc.subject.othereffects
dc.subject.othergeneralized
dc.subject.otheridentification
dc.subject.otherlinear
dc.subject.othermixed
dc.subject.othermodel
dc.subject.otherproblem
dc.titleAge-Period-Cohort Analysis
dc.title.alternativeNew Models, Methods, and Empirical Applications
dc.typebook
oapen.identifier.doi10.1201/b13902
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.imprintChapman and Hall/CRC
oapen.pages352


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