Age–period–cohort analysis is an essential epidemiologic tool for analyzing trends over time in health outcomes. Age effects describe the common developmental processes that are associated with particular ages or stages in the life course and can explain trends in health outcomes if the age ...
BayesianAge-Period-CohortModelingand Prediction–BAMP VolkerJ.Schmid ImperialCollegeLondon LeonhardHeld Universit¨atZ¨urich Abstract ThesoftwarepackageBAMPprovidesamethodofanalyzingincidenceormortality dataontheLexisdiagram,usingaBayesianversionofanage-period-cohortmodel.A hierarchicalmodelisassumedwithabinomialmodel...
定价:USD86.95 装帧:Hardcover ISBN:9781466551534 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 内容简介· ··· Age–Period–Cohort Models: Approaches and Analyses with Aggregate Data presents an introduction to the problems and strategies for modeling age, period, and cohort (APC)...
Estimatedannual percentage changes (EAPCs) were calculated to ref l ect f l uctuations in theage-standardized rates. The Bayesian age-period-cohort models were used to projectrehabilitation needs.Results: The number of prevalent cases and years lived with disability (YLD) countsin need of muscul...
Trends and projections of kidney cancer incidence at the global and national levels, 1990–2030: a bayesian age-period-cohort modeling study. Biomark Res. 2020;8:1–10. Article Google Scholar Gao Y, Liu X. Secular trends in the incidence of and mortality due to alzheimer’s disease and ...
Lung cancer (LC) is the leading cause of cancer death in China and Australia, the countries with different socioenvironmental contexts in the Western Pacific Region. Comparing the age-period-cohort effect on LC mortality (LCM) between the two countries c
Age-period-cohort models and disease mapping - Lagazio, Biggeri, et al. - 2003 () Citation Context ...esian approaches have been proposed, where latent parameters follow Gaussian Markov random field (GMRF) models (Waller et al., 1997, Knorr-Held & Besag, 1998, Knorr-Held, 2000a, Lag...
Estimating the impact of age, period, and cohort on pancreatic cancer disease burden in different SDI regions using age-period-cohort modeling with data (with 95% uncertainty intervals [UI]) from the Global Burden of Disease (GBD) Study 2019 and net drift of age-standardized incidence rates (...
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 re...
AgeePeriodeCohort Analysis: new models, met-hods,andempiricalapplications.London,UK:ChapmanandHall/CRC; 2013.Disentangling the independenteffectsofage (calendaryearwhenthe patient was diagnosed with the disease or when the patientdied), period (calendar year in which the response occurs), and birth...