apc: A Package for Age-Period-Cohort Analysis
نویسنده
چکیده
The apc package includes functions for age-period-cohort analysis based on the canonical parametrisation of Kuang et al. (2008). The package includes functions for organizing the data, descriptive plots, a deviance table, estimation of (sub-models of) the age-period-cohort model, a plot for specification testing, plots of estimated parameters, and sub-sample analysis.
منابع مشابه
Investigation of the Pattern of the Effect of Age Group, Time Period, and Birth Cohort on the Incidence of Suicidal Deaths in Lorestan Povince, 2006-2015
Background and Objectives: Suicide is one of the psychosocial problems in Lorestan Province due to its socio-cultural and economic structure. The aim of this study was to investigate the effect of age group, time period, and birth cohort on the suicide incidence in Lorestan Province during the 2006-2015. Methods: In this study, to overcome the identifiability problem, the Carstensen approac...
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In the frame of the Cox proportional hazard (PH) model, a novel two-step procedure for estimating age-period-cohort (APC) effects on the hazard function of death from cancer was developed. In the first step, the procedure estimates the influence of joint APC effects on the hazard function, using Cox PH regression procedures from a standard software package. In the second step, the coefficients ...
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This study aims to provide a systematical introduction of age-period-cohort (APC) analysis to South Korean readers who are unfamiliar with this method (we provide an extended version of this study in Korean). As health data in South Korea has substantially accumulated, population-level studies that explore long-term trends of health status and health inequalities and identify macrosocial determ...
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BACKGROUND Age-period-cohort (APC) analysis could provide useful insight into the interpretation of time trends for disease rates. This study aimed to determine whether the patterns of age, period and cohort effects on epilepsy mortality in Taiwan were similar to those in the US and in England and Wales. METHODS We employed a three-phase APC analysis method developed by Keyes and Li,(7) which...
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Age–period–cohort (APC) models have been widely used in the analysis of incidence and mortality data. Bayesian APC models, in which multivariate Gaussian priors are incorporated on age, period and cohort effects, can evade the identifiability problem. Inference with integrated nested Laplace approximations (INLA) has recently been a useful tool. An application of the Bayesian APC models with IN...
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