[gov3009-l] Gov 3009 February 26: Spiegelman

Elizabeth Stuart stuart@stat.harvard.edu
Sun, 23 Feb 2003 18:36:04 -0500 (EST)


This week's speaker at the Gov 3009 seminar is Donna Spiegelman, of the
Departments of Epidemiology and Biostatistics, Harvard School of Public
Health.  She will be speaking on "Correlated errors in biased surrogates:
study designs and methods for measurement error correction."

Abstract:
The measurement error model proposed by Kipnis, et al. (1999)  allows for
correlations between subject-specific biases and between random
within-subject errors in the surrogates obtained from two modes of
measurement. However, most of these model parameters are not identifiable
from the standard validation study design, including, importantly, the
attenuation factor needed to correct for bias in relative risk estimates
due to measurement error using the method of regression calibration
(Rosner et al., 1989). We propose validation study designs that permit
estimation and inference for the attenuation factor and other parameters
of interest when this model applies. We use an estimating equations
framework to develop semi-parametric estimators for these parameters,
exploiting instrumental variables techniques. The methods are illustrated
through application to data from the Nurses' Health Study (Willet et al.,
1992) and Health Professionals' Follow-up Study (Grobbee et al., 1990) and
comparisons are made to simpler models.

Seminar Information:
The seminar meets at noon in Room 22, Center for Basic Research
in Social Sciences (CBRSS, 34 Kirkland St., this is the yellow building
across the street from William James Hall). Contact information, previous
presentations, and the spring schedule may be found at the course web
site: http://www.courses.fas.harvard.edu/~gov3009/.  Lunch is provided.

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Questions?  Please contact the workshop coordinator, Liz Stuart, at
stuart@stat.harvard.edu