… smoothness constraints on the age, period, and cohort effects, and this may be put into a
useful formal framework by adopting a Bayesian approach. Indeed, Bayesian methods for this …

… New Bayesian cohort models designed to resolve the identification problem in cohort analysis
… problem in cohort analysis, we adopt a Bayesian approach discussed by Akaike [1]. As …

… Furthermore, we have adopted a Bayesian non-parametric age±period±cohort approach
to make projections of future rates of lymphoid neoplasms up to 2007. Based on the …

… Bayesian APC models to annual lung cancer data for females in five different countries,
previously analyzed … In our application, the probabilistic forecasts obtained by the Bayesian APC …

… Bayes approach, which treats appropriately defined cohort, … of age, period, and cohort can
be included in cohort models. … age, period, and cohort, also known as the cohort analysis …

… Finally, age-standardized DALY rates were calculated by sex … Bayesian age–period–cohort
(BAPC) analysis in R using the BAPC and INLA packages was performed. All data analyses …

… We estimated future CHD and stroke mortality projections, developing Bayesian age-period-cohort
(BAPC) models in population and the number of CHD and stroke by age, sex, and all …

… Finally, we ran a Bayesian age-period-cohort (BAPC) analysis in R using the BAPC and …
Age-period-cohort (APC) analysis was mainly used to analyze the changing trend in chronic …

… rate for all age groups in … Bayesian Age-Period-Cohort (BAPC) model to project the disease
burden from 2020 to 2030. APC models analyze registry data based on the individual’s age …

… a longitudinal analysis of cervical … age, time period, and birth cohort. In particular, we
analysed the data using both the frequentist maximum likelihood approach as well as Bayesian …