John Hanfelt
Professor
Faculty, Biostatistics and Bioinformatics
My research interests include robust methods for sparse cluster-correlated studies, the theory of estimating functions and artificial likelihood, and the application of high-dimensional latent class methods in Alzheimer's disease. I direct the biostatistics/epidemiology program of the Georgia Clinical and Translational Science Alliance and co-direct the statistics/data management core of the Emory Alzheimer's Disease Research Center. I am a Fellow of the American Statistical Association.
Contact Information
Rollins School of Public Health , 1518 Clifton Road NE
Atlanta , GA 30322-4201
Phone: (404) 727-2876
Fax: (404) 727-1370
Email: jhanfel@emory.edu
Areas of Interest
- Biomarkers
- Biostatistics
- Longitudinal Analysis
Education
- AB 1984, Harvard University
- MS 1988, George Washington University
- PhD 1994, Johns Hopkins University
Courses Taught
- BIOS 513: Statistical Inference I
- BIOS 513: Statistical Inference I
Publications
- Hart KR, Fei T, Hanfelt JJ, 2020, Scalable and robust latent trajectory class analysis using artificial likelihood, Biometrics, (accepted),
- Hanfelt JJ, Peng L, Goldstein FC, Lah JJ., 2018, Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center, Neurobiology of Disease, 117, 62-71
- Hanfelt J, Wang L, 2014, Simple relaxed conditional likelihood, Biometrika , 101, 726-732
- Hanfelt JJ, Wuu J, Sollinger AB, Greenaway MC, Lah JJ, Levey AI, Goldstein FC, 2011, 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
- Hanfelt JJ, Li R, Pan Y, Payment P., 2011, Robust inference for sparse cluster-correlated count data., Journal of Multivariate Analysis, 102, 182-192
- Crawford SB, Hanfelt JJ., 2011, Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data., Journal of Applied Statistics, 38, 1249 - 1264
- Wang M, Hanfelt JJ., 2009, A robust method for finely stratified familial studies with proband-based sampling., Biostatistics, 10, 364-373
- Crawford S, Hanfelt JJ , 2008, Testing for the presence of multiple sources of informative dropout in longitudinal data. , Statistics in Medicine , 27, 4175-4189
- Wang M, Hanfelt JJ., 2007, Orthogonal locally ancillary estimating functions for matched pair studies and errors in covariates, Journal of the Royal Statistical Society, B, 69, 411-428
- Hanfelt, JJ., 2004, Composite conditional likelihood for sparse clustered data, Journal of the Royal Statistical Society, B, 66, 259-273
- Wang M, Hanfelt JJ., 2003, Adjusted profile estimating function, Biometrika, 90, 845-858
- Hanfelt, JJ. , 2003, Conditioning to reduce the sensitivity of general estimating functions to nuisance parameters, Biometrika, 90, 517-531