𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Age–period–cohort models and disease mapping

✍ Scribed by Corrado Lagazio; Annibale Biggeri; Emanuela Dreassi

Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
222 KB
Volume
14
Category
Article
ISSN
1180-4009

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

AUTOREGRESSIVE AGE–PERIOD–COHORT MODELS
AUTOREGRESSIVE AGE–PERIOD–COHORT MODELS
✍ WEN C. LEE; RUEY S. LIN 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 561 KB

Age-period-cohort analysis of vital data has received much attention recently, and it is already well known that the exact linear relation of the three time factors creates a non-identifiability problem. Previous studies have shown that the curvature terms of these factors are estimable but the line

Age–period–cohort analysis of chronic di
Age–period–cohort analysis of chronic disease rates. I: modelling approach
✍ Chris Robertson; Peter Boyle 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 163 KB

Age-Period-cohort models are widely used by epidemiologists to analyse trends in disease incidence and mortality. The interpretation of such models is fraught with difficulty in view of the exact linear dependency between the three variables. It is the purpose of this paper to review, compare and co

Age–period–cohort models of chronic dise
Age–period–cohort models of chronic disease rates. II: graphical approaches by C. Robertson and P. Boyle, Statistics in Medicine, 17, 1325–1340 (1998)
✍ Niels Keiding 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 43 KB

In the above paper the authors give a well-balanced set of recommendations concerning graphical analysis of age}period}cohort variation of disease (or other) rates. For the historical record it may be pointed out that the usefulness of graphical approaches to age}period}cohort variations of mortalit