Chapter

Temporal Factors in Public Health Surveillance: Sorting Out Age, Period, and Cohort Effects

Theodore R. Holford

in Monitoring the Health of Populations

Published in print December 2003 | ISBN: 9780195146493
Published online September 2009 | e-ISBN: 9780199864928 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195146493.003.0004
Temporal Factors in Public Health Surveillance: Sorting Out Age, Period, and Cohort Effects

Show Summary Details

Preview

This chapter explores the problem of modeling simultaneously the temporal effects of age, period, and cohort on disease rates, and demonstrates the limitations of the identifiability problem on the ability to interpret the resulting parameter estimates. Data analysts were forced to recognize this difficulty when they adopted a formal modeling approach over the simpler graphical display of trends. The problem arises from the attempt to extract three separate temporal elements from what are inherently only two temporal dimensions, as described by the Lexis diagram. Numerical difficulties are picked up during the regression calculations in a modeling approach, whereas no such difficulties are apparent in a graphical approach.

Keywords: temporal effects; public health monitoring; modeling; age; period; cohort; disease rates; Lexis diagram

Chapter.  8614 words.  Illustrated.

Subjects: Public Health and Epidemiology

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.