Relevant bibliographies by topics / Generalized Age-Period-Cohort

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  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'Generalized Age-Period-Cohort'

Author: Grafiati
Published: 8 March 2025

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Journal articles on the topic "Generalized Age-Period-Cohort"

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Jürgens, Verena, Silvia Ess, Thomas Cerny, and Penelope Vounatsou. "A Bayesian generalized age-period-cohort power model for cancer projections." Statistics in Medicine 33, no. 26 (2014): 4627–36. http://dx.doi.org/10.1002/sim.6248.

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Jiang, Bei, and Keumhee C. Carriere. "Age-period-cohort models using smoothing splines: a generalized additive model approach." Statistics in Medicine 33, no. 4 (2013): 595–606. http://dx.doi.org/10.1002/sim.5970.

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Hall, M., and N. Friel. "Mortality Projections using Generalized Additive Models with applications to annuity values for the Irish population." Annals of Actuarial Science 5, no. 1 (2010): 19–32. http://dx.doi.org/10.1017/s1748499510000011.

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AbstractGeneralized Additive Models (GAMs) with age, period and cohort as possible covariates are used to predict future mortality improvements for the Irish population. The GAMs considered are the 1-dimensional age + period and age + cohort models and the 2-dimensional age-period and age-cohort models. In each case thin plate regression splines are used as the smoothing functions. The generalized additive models are compared with the P-Spline (Currie et al., 2004) and Lee-Carter (Lee & Carter, 1992) models included in version 1.0 of the Continuous Mortality Investigation (CMI) library of
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Chernyavskiy, Pavel, Mark P. Little, and Philip S. Rosenberg. "Spatially varying age–period–cohort analysis with application to US mortality, 2002–2016." Biostatistics 21, no. 4 (2019): 845–59. http://dx.doi.org/10.1093/biostatistics/kxz009.

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Summary Many public health databases index disease counts by age groups and calendar periods within geographic regions (e.g., states, districts, or counties). Issues around relative risk estimation in small areas are well-studied; however, estimating trend parameters that vary across geographic regions has received less attention. Additionally, small counts (e.g., $<10$) in most publicly accessible databases are censored, further complicating age–period–cohort (APC) analysis in small areas. Here, we present a novel APC model with left-censoring and spatially varying intercept and trends
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GAO, Xuede, and Haoyun MA. "Changing trends of Chinese people's generalized trust: A dynamic analysis of the age-period-cohort effect." Acta Psychologica Sinica 57, no. 3 (2025): 463. https://doi.org/10.3724/sp.j.1041.2025.0463.

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Yang, Yang, Wenjiang J. Fu, and Kenneth C. Land. "2. A Methodological Comparison of Age-Period-Cohort Models: The Intrinsic Estimator and Conventional Generalized Linear Models." Sociological Methodology 34, no. 1 (2004): 75–110. http://dx.doi.org/10.1111/j.0081-1750.2004.00148.x.

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Grasso, Maria Teresa, Stephen Farrall, Emily Gray, Colin Hay, and Will Jennings. "Thatcher’s Children, Blair’s Babies, Political Socialization and Trickle-down Value Change: An Age, Period and Cohort Analysis." British Journal of Political Science 49, no. 1 (2017): 17–36. http://dx.doi.org/10.1017/s0007123416000375.

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To what extent are new generations ‘Thatcherite’? Using British Social Attitudes data for 1985–2012 and applying age-period-cohort analysis and generalized additive models, this article investigates whether Thatcher’s Children hold more right-authoritarian political values compared to other political generations. The study further examines the extent to which the generation that came of age under New Labour – Blair’s Babies – shares these values. The findings for generation effects indicate that the later political generation is even more right-authoritarian, including with respect to attitude
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Mousavi-Jarrrahi, Seyed Houssein, Amir Kasaeian, Kamyar Mansori, Mehdi Ranjbaran, Mahmoud Khodadost, and Alireza Mosavi-Jarrahi. "Addressing the Younger Age at Onset in Breast Cancer Patients in Asia: An Age-Period-Cohort Analysis of Fifty Years of Quality Data from the International Agency for Research on Cancer." ISRN Oncology 2013 (September 2, 2013): 1–8. http://dx.doi.org/10.1155/2013/429862.

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Introduction. There is an established fact that Asian breast cancer patients are, on average, younger than their European counterparts. This study aimed to utilize the data from the Cancer Incidence in Five Continents I through XIII (published by the International Agency for Research on Cancer) to examine what contributes to the younger age at onset in the Asian population. Material and Methods. Data (number of breast cancer cases and corresponding population figures) for 29 registries in Europe and 9 registries in Asia for the period of 1953–2002 was accessioned and pooled to form two distinc
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Ranjbaran, Mehdi, Mahmood Khodadost, Kamyar Mansori, et al. "Mobile Phone Use and Brain Tumor: An Age-Period-Cohort Analysis of Brain Tumor Rates in the Nordic Population." Asian Pacific Journal of Cancer Biology 1, no. 1 (2016): 19–29. http://dx.doi.org/10.31557/apjcb.2016.1.1.19-29.

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Background: The association of the mobile phone use and risk of brain tumor remains controversial among radiation epidemiologists. Methods: We hypothesized if an association between brain tumor and mobile phone use exists, this association will be manifested as a cohort effect (as a proxy of association between mobile phone use and brain tumor) in the incidence rates of brain tumor during the period of 1990 to 2009. We used age-period-cohort methodology (generalized log-linear model) and compared the distribution of cohort effects in the observed rates of brain tumor from 1990 to 2009 to the c
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Marsh, Herbert W. "Age and Gender Effects in Physical Self-Concepts for Adolescent Elite Athletes and Nonathletes: A Multicohort-Multioccasion Design." Journal of Sport and Exercise Psychology 20, no. 3 (1998): 237–59. http://dx.doi.org/10.1123/jsep.20.3.237.

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Age and gender effects in 10 physical self-concept scales for elite athletes and nonathletes were based on responses from 4 age cohorts (grades 7-10 in high school) who completed the same instrument 4 times during a 2-year period. A multicohort-multioccasion design provides a stronger basis for assessing development differences than a cross-sectional comparison collected on a single occasion or a longitudinal comparison based on responses by a single age cohort collected on multiple occasions. Across all 10 physical self-concepts there were substantial differences due to group (athletes greate
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Dissertations / Theses on the topic "Generalized Age-Period-Cohort"

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Burg, Antoine. "Multivariate extensions for mortality modelling." Electronic Thesis or Diss., Université Paris sciences et lettres, 2025. http://www.theses.fr/2025UPSLD002.

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Au cours des deux derniers siècles, l’espérance de vie tout autour du globe a connu un accroissement considérable. Si la tendance sur le long terme est plutôt régulière, l’amélioration de la longévité peut être décomposée sur le court-terme en plusieurs phases, que l’on peut relier le plus souvent aux progrès médicaux et à la diminution de causes de mortalité particulières. L’année 2020 marque un tournant du fait de l’ampleur de la pandémie Covid-19 et de ses conséquences. Ses effets directs et indirects sur l’économie et les systèmes de santé se manifestent également au travers des autres cau
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Ishibashi, Raphael Akira Siqueira. "Análise da incidência dos linfomas no município de São Paulo, 1997 a 2012." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/6/6143/tde-01112018-105613/.

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Introdução: Os linfomas abrangem um grupo heterogêneo de neoplasias originadas no sistema linfático, diferentes quanto à sua histologia, prognóstico e epidemiologia, embora possa haver grande número de aspectos clínicos comuns. De acordo com sua morfologia, dividem-se dois grupos: os linfomas Hodgkin (LH) e os linfomas não-Hodgkin (LNH). Objetivo: Avaliar a tendência temporal da incidência de linfomas no período de 1997 a 2012, identificando a influência de fatores como o sexo, a idade, o período e a coorte e nascimento. Metodologia: Trata-se de um estudo ecológico. Foram obtidas, do Registro
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Books on the topic "Generalized Age-Period-Cohort"

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Ferraro, Kenneth F. Causality. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190665340.003.0002.

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Gerontologists are often skeptical of age as a presumed cause of the aging process. Although age is an indispensable marker of life experiences, it is a rather crude indicator of the many factors that actually shape the aging experience, including senescence. To address the multiple meanings associated with age, some gerontologists have advanced concepts such as biological age or functional age. These are useful concepts, isolating one domain or facet of aging, but even these concepts must be applied with a skepticism for age effects. Gullible gerontology ensues when well-meaning persons accep
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Book chapters on the topic "Generalized Age-Period-Cohort"

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Yang, Yang, and Kenneth C. Land. "Formalities of the Age-Period-Cohort Analysis Conundrum and a Generalized Linear Mixed Models (GLMM) Framework." In Age-Period-Cohort Analysis. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b13902-4.

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D'Amato Valeria, Piscopo Gabriella, and Russolillo Maria. "Iterative Algorithms for detecting mortality trends in the family of Lee Carter Models." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-692-8-69.

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In the current literature, there are several papers which have considered the modelling and forecasting of population mortality using the Lee-Carter framework. According to Booth (2006), the Lee-Carter-based approach is widely considered because it produces fairly realistic life expectancy forecasts, which are used as reference values for other modelling methods. In recent years, there have been several extensions of the standard LC method, retaining some of its basic properties, but adding additional statistical features too. In 2006, Renshaw and Haberman developed a special adaptation of the LC method. They transformed the basic LC model into a more general framework in order to analyse the relationship between age and time and their joint impact on the mortality rates. This transformation gave birth to the so-called age-period-cohort (APC) log-bilinear generalized linear models (GLM) with Poisson error structures. In this paper, we take into consideration a family of generalised log-linear models of the LC type structure with Poisson errors that includes the basic LC model too. In this framework, we implement a specialised iterative regression methodology based on Poisson likelihood maximization process. In particular, we make use of the approach proposed and illustrated in Renshaw and Haberman (2006), which generalises the basic LC modelling framework to develop a tailored iterative process for updating the parameter estimates. In order to assess the goodness of fit of the regression, we provide a range of residual analyses with corresponding target fitted values. Diagnostic plots are provided to show the results.
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