Bayesian Age-Period-Cohort-Modelling and Prediction

A Bayesian version of the age-period-cohort model for analysing and predicting incidence or mortality data on the Lexis diagram.

The BAMP method is implemented in the bamp R package (source on GitHub).

Related Publications

• Maria Guzman Castillo, Duncan O. S. Gillespie, Kirk Allen, Piotr Bandosz, Volker J. Schmid, Simon Capewell, Martin O’Flaherty. Future Declines of Coronary Heart Disease Mortality in England and Wales Could Counter the Burden of Population Ageing – PLoS ONE, 2014
• AD Lopez, K. Shibuya, C. Rao, CD Mathers, Anna L. Hansell, Leonhard Held, Volker J. Schmid, S. Buist. Chronic obstructive pulmonary disease: current burden and future projections – European Respiratory Journal, 2006
• Volker J. Schmid. Bayesianische Raum-Zeit-Modellierung in der Epidemiologie – Dr. Hut Verlag 2004, 2004
• Volker J. Schmid, Leonhard Held. Bayesian Extrapolation of Space–Time Trends in Cancer Registry Data – Biometrics, 2004
• Anna L. Hansell, Leonhard Knorr-Held, Nicky G Best, Volker J. Schmid, P Aylin. COPD mortality trends 1950-1999 in England & Wales - Did the 1956 Clean Air Act make a detectable difference? – 2002