AB, 1984, Harvard University
MS, 1988, George Washington University
PhD, 1994, Johns Hopkins University
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Courses Taught:
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BIOS 511: Statistical Inference I
BIOS 709: Generalized Linear Models
BIOS 711: Statistical Inference II
BIOS 735: Estimating Function Theory
BIOS 760R: Special Topics
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Selected Research Projects:
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Dr. Hanfelt's research interests are in proteomics, Alzheimer's disease, the statistical analysis of sparse dependent data, estimating functions and artificial likelihood theory.
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Selected Publications:
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, Li R, Pan Y, Payment P.
Robust inference for sparse cluster-correlated count data.
Journal of Multivariate Analysis , 102: 182-192, 2011.
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Crawford SB, .
Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data.
Journal of Applied Statistics (to appear) , 2011.
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, Wuu J, Sollinger AB, Greenaway MC, Lah JJ, Levey AI, Goldstein FC
An exploration of subgroups of mild cognitive impairment based on cognitive, neuropsychiatric and functional features: Analysis of data from the National Alzheimer's Coordinating Center
American Journal of Geriatric Psychiatry , 19: 940-950, 2011.
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Wang M, .
A robust method for finely stratified familial studies with proband-based sampling.
Biostatistics , 10: 364-373, 2009.
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Gozal YM, Duong DM, Gearing M, Cheng DM, , et al.
Proteomics analysis reveals novel components in the detergent-insoluble subproteome in Alzheimer's Disease.
Journal of Proteome Research , 8: 5069-5079, 2009.
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Seyfried NT, Xu P, Duong DM, Cheng D, , Peng J.
Systematic approach for validating the ubiquinated proteome.
Analytical Chemistry , 80: 4161-4169, 2008.
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Crawford S,
Testing for the presence of multiple sources of informative dropout in longitudinal data.
Statistics in Medicine , 27: 4175-4189, 2008.
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Wang M, .
Orthogonal locally ancillary estimating functions for matched pair studies and errors in covariates
Journal of the Royal Statistical Society, B , 69: 411-428, 2007.
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Hanfelt, JJ .
Composite conditional likelihood for sparse clustered data
Journal of the Royal Statistical Society, B , 66: 259-273, 2004.
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Hanfelt, JJ .
Conditioning to reduce the sensitivity of general estimating functions to nuisance parameters
Biometrika , 90: 517-531, 2003.
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Wang M, .
Adjusted profile estimating function
Biometrika , 90: 845-858, 2003.
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Link to this page: http://www.sph.emory.edu/faculty/JHANFEL
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