| Year |
Citation |
Score |
| 2020 |
Hart KR, Fei T, Hanfelt JJ. Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics. PMID 32896901 DOI: 10.1111/Biom.13366 |
0.319 |
|
| 2018 |
Hanfelt JJ, Peng L, Goldstein FC, Lah JJ. 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. PMID 29859866 DOI: 10.1016/J.Nbd.2018.05.025 |
0.301 |
|
| 2015 |
Dunn WD, Gearing M, Park Y, Zhang L, Hanfelt J, Glass JD, Gutman DA. Applicability of digital analysis and imaging technology in neuropathology assessment. Neuropathology : Official Journal of the Japanese Society of Neuropathology. PMID 26577803 DOI: 10.1111/Neup.12273 |
0.306 |
|
| 2015 |
Chen J, Hanfelt JJ, Huang Y. A Simple Corrected Score for Logistic Regression with Errors-in-Covariates Communications in Statistics - Theory and Methods. 44: 2024-2036. DOI: 10.1080/03610926.2013.773350 |
0.32 |
|
| 2014 |
Hanfelt JJ, Wang L. Simple relaxed conditional likelihood Biometrika. 101: 726-732. DOI: 10.1093/Biomet/Asu028 |
0.322 |
|
| 2011 |
Crawford SB, Hanfelt JJ. Testing for qualitative interaction of multiple sources of informative dropout in longitudinal data Journal of Applied Statistics. 38: 1249-1264. DOI: 10.1080/02664763.2010.491969 |
0.623 |
|
| 2011 |
Hanfelt JJ, Li R, Pan Y, Payment P. Robust inference for sparse cluster-correlated count data Journal of Multivariate Analysis. 102: 182-192. DOI: 10.1016/J.Jmva.2010.09.003 |
0.352 |
|
| 2009 |
Gozal YM, Duong DM, Gearing M, Cheng D, Hanfelt JJ, Funderburk C, Peng J, Lah JJ, Levey AI. Proteomics analysis reveals novel components in the detergent-insoluble subproteome in Alzheimer's disease. Journal of Proteome Research. 8: 5069-79. PMID 19746990 DOI: 10.1021/Pr900474T |
0.312 |
|
| 2009 |
Wang M, Hanfelt JJ. A robust method for finely stratified familial studies with proband-based sampling. Biostatistics (Oxford, England). 10: 364-73. PMID 19202153 DOI: 10.1093/Biostatistics/Kxn043 |
0.51 |
|
| 2008 |
Crawford SB, Hanfelt JJ. Testing for the presence of multiple sources of informative dropout in longitudinal data. Statistics in Medicine. 27: 4175-89. PMID 18613222 DOI: 10.1002/Sim.3287 |
0.606 |
|
| 2008 |
Seyfried NT, Xu P, Duong DM, Cheng D, Hanfelt J, Peng J. Systematic approach for validating the ubiquitinated proteome. Analytical Chemistry. 80: 4161-9. PMID 18433149 DOI: 10.1021/Ac702516A |
0.306 |
|
| 2008 |
Wang M, Hanfelt JJ. Orthogonal locally ancillary estimating functions with application to stratified clustered data Communications in Statistics - Theory and Methods. 37: 2836-2853. DOI: 10.1080/03610920802017777 |
0.518 |
|
| 2008 |
Wang M, Hanfelt JJ. Robust modified profile estimating function with application to the generalized estimating equation Journal of Statistical Planning and Inference. 138: 2029-2044. DOI: 10.1016/J.Jspi.2007.08.007 |
0.529 |
|
| 2007 |
Zhou JY, Hanfelt J, Peng J. Clinical proteomics in neurodegenerative diseases. Proteomics. Clinical Applications. 1: 1342-50. PMID 21136634 DOI: 10.1002/Prca.200700378 |
0.304 |
|
| 2007 |
Wang M, Hanfelt JJ. Orthogonal locally ancillary estimating functions for matched pair studies and errors in covariates Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 411-428. DOI: 10.1111/J.1467-9868.2007.00595.X |
0.526 |
|
| 2006 |
Cheng D, Hoogenraad CC, Rush J, Ramm E, Schlager MA, Duong DM, Xu P, Wijayawardana SR, Hanfelt J, Nakagawa T, Sheng M, Peng J. Relative and absolute quantification of postsynaptic density proteome isolated from rat forebrain and cerebellum. Molecular & Cellular Proteomics : McP. 5: 1158-70. PMID 16507876 DOI: 10.1074/Mcp.D500009-Mcp200 |
0.626 |
|
| 2004 |
Hanfelt JJ. Composite conditional likelihood for sparse clustered data Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66: 259-273. DOI: 10.1046/J.1369-7412.2003.05300.X |
0.323 |
|
| 2003 |
Wang M, Hanfelt JJ. Adjusted profile estimating function Biometrika. 90: 845-858. DOI: 10.1093/Biomet/90.4.845 |
0.523 |
|
| 2003 |
Hanfelt JJ. Conditioning to reduce the sensitivity of general estimating functions to nuisance parameters Biometrika. 90: 517-531. DOI: 10.1093/Biomet/90.3.517 |
0.347 |
|
| 2001 |
Lyles RH, Taylor DJ, Hanfelt JJ, Kupper LL. An alternative parametric approach for discrete missing data problems Communications in Statistics - Theory and Methods. 30: 1969-1988. DOI: 10.1081/Sta-100106057 |
0.34 |
|
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