Faculty Bio - Lisa Weissfeld, PhD
M.A., University of Pittsburgh
Ph.D., University of Pittsburgh
My primary research interests are currently focused in the areas of biomarker and neuroimaging data. I am currently working on statistical methods to analyze biomarker data that is truncated due to the sensitivity of the assay for measuring the biomarker. I have been working on the development of statistical methods where either the outcome or covariate in a given model is subject to left censoring.
I also work in the area of imaging with a focus on neuroimaging. I am working on the development of methods that will enhance the implementation of dimension reduction methods for the analysis of neuroimaging data. I am also working on the development of decision rules for detection of disease in an image. (Health Sciences Faculty Research Interests Project)
Sattar A, Weissfeld LA, Molenberghs G. Analysis of non-ignorable missing and left-censored longitudinal data using weighted random effects tobit model. Statistics in Medicine 2011, 30(27): 3167-80, 2011. PMID: 21898524.
Lee MJ, Kong L, Weissfeld, L. Multiple Imputation for left-censored biomarker data based on Gibbs Sampling method. Statistics in Medicine Feb 22, 2012. PMID: 22359320.
Rosario BL, Weissfeld LA, Laymon CM, Mathis CA, Klunk WE, Bergine MD, James JA, Hoge JA, Price JC. Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET. Neuroimage 2011, 55(3): 933-41.
Sattar A, Weissfeld LA, Molenberghs G. Analysis of non-ignorable missing and left-censored longitudinal data using weighted random effects tobit model. To appear in Statistics in Medicine, 2011.
Shen C, Weissfeld L. A copula model for repeated measurements with non-ignorable non-monotone missing outcome”. Statistics in Medicine 2006, 25(14): 2427-2440.
D’Angelo G, Weissfeld L. Covariates missing by design: comparison of the efficient score to other weighted methods. Statistics in Medicine 2006, 26(10): 2137-2153.
D’Angelo G, Weissfeld L. An index approach to the Cox model with left censored covariates. Statistics in Medicine 2008, 27(22): 4502-4514.
Rosario BL, Ziolko SK, Weissfeld LA, Price JC. Assessment of parameter settings for SPM5 spatial normalization of structural MRI data: application to type 2 diabetes. Neuroimage 2008, 41(2): 363-70.
Qin L, Weissfeld L, Shen C, Levine, M. A two-latent-class model for smoking cessation with informative dropouts. Communications in Statistics – Theory and Methods 2009, 38(15): 2604-2619.
305 Parran Hall
130 DeSoto Street
Pittsburgh, PA 15261
Last reviewed: June 21, 2012