Ordinary meeting of the Royal Statistical Society organized by the
Research Section
Wednesday, May 10th, 2006 at 5pm (tea from 4:30pm)
Venue: Royal Statistical Society, 12 Errol St, London EC1Y 8LX
C. P. Farrington and H. J. Whitaker (The Open University, Milton Keynes)
Semiparametric analysis of case series data
The case series model for estimating the association between an
age-dependent exposure and an outcome event requires information only on
cases and implicitly adjusts for all age-independent multiplicative
confounders, while allowing for an age-dependent base-line incidence. In
the paper the model is presented in greater generality than hitherto,
including more general discussion of its derivation, underlying
assumptions, applicability, limitations and efficiency. A semiparametric
version of the model is developed, in which the age-specific relative
incidence is left unspecified. Modelling covariate effects and testing
assumptions are discussed. The small sample performance of this model is
studied in simulations. The methods are illustrated with several examples
from epidemiology.
You can download/view a PDF copy of this paper at
http://www.rss.org.uk/main.asp?page=1836#1076
Trevor Sweeting
Chair, RSS Research Section Committee
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