[gov3009-l] Gov 3009 February 26: Spiegelman

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. To join the gov3009 mailing list, send e-mail to gov3009-l-request(a)fas.harvard.edu with the following text message: subscribe end Questions? Please contact the workshop coordinator, Liz Stuart, at stuart(a)stat.harvard.edu