n this article, I describe and illustrate Stata programs that facilitate i) the fitting of smooth age–period–cohort models to event data and ii) the plotting of observed and fitted rates. The programs include postestimation functional- ity and flexibility to fit models not possible using Stata...
In this article, I describe and illustrate Stata programs that facilitate i) the fitting of smooth age-period-cohort models to event data and ii) the plotting of observed and fitted rates. The programs include postestimation functionality and flexibility to fit models not possible using Stata's ...
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...
We develop an R package APCI (and Stata command apci) to implement the age-period-cohort-interaction (APC-I) model for estimating and testing age, period, and cohort patterns in various types of outcomes for pooled cross-sectional data and multi-cohort panel data. Package APC...
Recent data suggest a temporal trend in decline in functional limitations in older adults but whether this trend extends to the period after the 8th decade of life remains unclear. We examined change in prevalence of limitations in activities and instrum
(2017). APCGO: Stata mod- ule to calculate age-period-cohort effects for the gap between two groups (based on a Blinder-Oaxaca decomposition), including trends for each parameter. Retrieved from https://ideas.repec. org/c/boc/bocode/s458331.html Chen, R.,...
Lu, Y., & Luo, L. (2021). Cohort variation in US violent crime patterns from 1960 to 2014: An age–period–cohort-interaction approach.Journal of Quantitative Criminology,37, 1047–1081. ArticleGoogle Scholar Lu, Y., & Steffensmeier, D. (2023). Stability or change in age-crime relation...
In this framework, the importance of non-linear period and cohort effects is statistically tested on comparison with the simple trend model (age-drift model) as well as the two-factor (age – period and age – cohort) models. The final model was selected on the grounds of parsimony, using...
in addition to covariates in our main model to examine whether these factors could contribute to the observed associations; and (5) repeated analyses in the Danish subcohort after excluding individuals who underwent cardiac surgery during the follow-up period to consider that postoperative AF has a...
our interpretation regarding the potential benefits of colonoscopy because we may have missed patients who had a diagnosis of colorectal cancer and whose initial treatment was not surgery, who were not surgical candidates because of comorbidities, or who had surgery performed after the 30-day period....