Statistical Analysis in the Lexis Diagram:
Age-Period-Cohort models and cousins

European Doctoral School of Demography 2019
SDU, Odense, April 1-4 2019.

Lectures & Practicals:
Bendix Carstensen, senior statistician, Steno Diabetes Center Copenhagen

• Preliminary program for the course.
• Slide handouts for the lectures; here as 3-up 8-up or 10-up
• Practicals which also has a short overview section of basic concepts in probability, survival and demography.
• Assignment to be handed in no later than 11th April 2019.
• Notes on Linear Algebra might be useful if you are not perfectly familiar with matrix algebra etc. Chapter 2 will be used extensively in the discussion of the APC-models.
• Computing: There will be a substantial practical component of the module, and you will be assumed bring a computer with R installed and to be fairly familiar with R.
  • Make sure your R-installation is up to date, the latest version of R is currently 3.5.3
  • You should install the Epi package, version 2.35; oh no!
    NOTE: there is a bug in version 2.35, so you should get version 2.36 here and install that instead.
  • It may prove useful to have the packages demography, ilc and apc installed too.
• Datasets used for practicals and assignments.
• R-programs both for solutions to practicals and examples used in the lectures
• Statistical papers discussing APC models. It will be useful to have browsed these before the course:
  • T.R. Holford: The estimation of age, period and cohort effects for vital rates. Biometrics, 39:311-324, 1983.
  • D. Clayton & E. Schifflers: Models for temporal variation in cancer rates. I: Age-period and age-cohort models; II: Age-period-cohort models. Statistics in Medicine, 6:449-481, 1987.
  • B. Carstensen: Age-Period-Cohort models for the Lexis diagram. Statistics in Medicine, 26: 3018-3045, 2007.
  • Of lesser importance:
    • Bendix Carstensen: Lee Carter models - und verwandte Gebiete. Technincal note, April 2018
    • A.E. Renshaw, S. Haberman: A cohort-based extension to the Lee–Carter model for mortality reduction factors. Insurance: Mathematics and Economics 38: 556–570, 2006.