Add to ORKGThe 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
In this paper we present the R implementation of a GLIM macro which fits age-period-cohort model fol...
Context: Age, period and birth cohort (APC) effects have been known for decades in biological, healt...
<p>Parameter estimates of age, cohort and period effect from the full APC model for men (left) and w...
This book explores the ways in which statistical models, methods, and research designs can be used t...
Age–period–cohort models provide a useful method for modeling incidence and mortality rates. It is w...
The apcgo program calculates the blinder-oaxaca decomposition for each periodXage group context and ...
<p>Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R p...
Age\u2013period\u2013cohort (APC) analyses are a family of statistical techniques to study temporal ...
The analysis of age-period-cohort (APC) patterns of vital rate changes over time is of great importa...
Standard descriptive methods for the analysis of cancer surveillance data include canonical plots ba...
In studying temporally ordered rates of events, epidemiologists, demographers, and social scientists...
<p>Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using glm of R p...
This paper develops a design-based approach to identifying cohort effects in APC analyses. Cohort ef...
BackgroundAge-period-cohort (APC) models are often used to decompose health trends into period- and ...
Age, Period, and Cohort (APC) models have been applied to analyze disease incidence or mortality rat...
In this paper we present the R implementation of a GLIM macro which fits age-period-cohort model fol...
Context: Age, period and birth cohort (APC) effects have been known for decades in biological, healt...
<p>Parameter estimates of age, cohort and period effect from the full APC model for men (left) and w...
This book explores the ways in which statistical models, methods, and research designs can be used t...
Age–period–cohort models provide a useful method for modeling incidence and mortality rates. It is w...
The apcgo program calculates the blinder-oaxaca decomposition for each periodXage group context and ...
<p>Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using apc of R p...
Age\u2013period\u2013cohort (APC) analyses are a family of statistical techniques to study temporal ...
The analysis of age-period-cohort (APC) patterns of vital rate changes over time is of great importa...
Standard descriptive methods for the analysis of cancer surveillance data include canonical plots ba...
In studying temporally ordered rates of events, epidemiologists, demographers, and social scientists...
<p>Age-Period-Cohort Modeling for Incidence and Mortality of Breast Cancer in Women using glm of R p...
This paper develops a design-based approach to identifying cohort effects in APC analyses. Cohort ef...
BackgroundAge-period-cohort (APC) models are often used to decompose health trends into period- and ...
Age, Period, and Cohort (APC) models have been applied to analyze disease incidence or mortality rat...
In this paper we present the R implementation of a GLIM macro which fits age-period-cohort model fol...
Context: Age, period and birth cohort (APC) effects have been known for decades in biological, healt...
<p>Parameter estimates of age, cohort and period effect from the full APC model for men (left) and w...