Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., Johns Hopkins University 2006
  • B.S., Peking University (China) 2001
• 

  Duke Appointment History

  • Assistant Professor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2008 - 2015
• Expertise
• 

  Subject Headings

  • Algorithms
  • Bias
  • Cluster Analysis
  • Computer Simulation
  • Health Surveys
  • Healthcare Disparities
  • Image Processing, Computer-Assisted
  • Medicare
  • Monte Carlo Method
  • Predictive Value of Tests
  • Propensity Score
  • Psychometrics
  • Retrospective Studies
  • Statistics, Nonparametric
• Research
• 

  Selected Grants

  • Addressing Bias from Missing Data in EHR Based Studies of CVD awarded by National Institutes of Health 2018 - 2023
  • The biodemography of early adversity: social behavioral processes in a wild animal model. awarded by National Institutes of Health 2018 - 2023
  • Religion, Spirituality and CVD Risks: A Focus on African Americans awarded by National Institutes of Health 2017 - 2022
  • Prospective Multicenter Observational Cohort Study of Comparative Effectiveness of Disease-Modifying Treatments for Myasthenia Gravis (MG) awarded by Patient Centered Outcomes Research Institute 2017 - 2021
  • A life course perspective on the effects of cumulative early adversity on health awarded by University of Notre Dame 2017 - 2019
  • New weighting methods for causal inference awarded by  National Science Foundation 2014 - 2017
  • NCRN-MN:Triangle Census Research Network awarded by  National Science Foundation 2011 - 2016
  • Collaborative Research: Statistical Modeling and Inference for High-dimensional Multi-Subject Neuroimaging Data awarded by  National Science Foundation 2012 - 2015
  • Bayesian multivariate analysis for causal inference with intermediate variable awarded by  National Science Foundation 2012 - 2015
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Papadogeorgou, G, and Li, F. "Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison”." Journal of the American Statistical Association 114, no. 525 (January 2, 2019): 32-35.  Full Text
    • Li, Fan, and Laine E. Thomas. “Addressing Extreme Propensity Scores via the Overlap Weights..” American Journal of Epidemiology 188, no. 1 (January 2019): 250–57. https://doi.org/10.1093/aje/kwy201.
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    • Arnold, Suzanne V., David J. Cohen, David Dai, Philip G. Jones, Fan Li, Laine Thomas, Suzanne J. Baron, et al. “Predicting Quality of Life at 1 Year After Transcatheter Aortic Valve Replacement in a Real-World Population..” Circulation. Cardiovascular Quality and Outcomes 11, no. 10 (October 2018). https://doi.org/10.1161/circoutcomes.118.004693.
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    • Kaufman, Brystana G., David Klemish, Cordt T. Kassner, Jerome P. Reiter, Fan Li, Matthew Harker, Emily C. O’Brien, Donald H. Taylor, and Nrupen A. Bhavsar. “Predicting Length of Hospice Stay: An Application of Quantile Regression..” Journal of Palliative Medicine 21, no. 8 (August 2018): 1131–36. https://doi.org/10.1089/jpm.2018.0039.
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    • Wang, F., J. Wang, A. E. Gelfand, and F. Li. “Disease Mapping With Generative Models.” American Statistician, July 12, 2018, 1–11. https://doi.org/10.1080/00031305.2017.1392358.
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    • Ding, P., and F. Li. “Causal inference: A missing data perspective.” Statistical Science 33, no. 2 (May 1, 2018): 214–37. https://doi.org/10.1214/18-STS645.
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    • Li, F., K. L. Morgan, and A. M. Zaslavsky. “Balancing Covariates via Propensity Score Weighting.” Journal of the American Statistical Association 113, no. 521 (January 2, 2018): 390–400. https://doi.org/10.1080/01621459.2016.1260466.
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    • Wang, Feifei, Jian Wang, Alan Gelfand, and Fan Li. “Accommodating the ecological fallacy in disease mapping in the absence of individual exposures..” Statistics in Medicine 36, no. 30 (December 2017): 4930–42. https://doi.org/10.1002/sim.7494.
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    • Mercatanti, A., and F. Li. “Do debit cards decrease cash demand?: causal inference and sensitivity analysis using principal stratification.” Journal of the Royal Statistical Society. Series C: Applied Statistics 66, no. 4 (August 1, 2017): 759–76. https://doi.org/10.1111/rssc.12193.
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    • Brennan, J Matthew, Laine Thomas, David J. Cohen, David Shahian, Alice Wang, Michael J. Mack, David R. Holmes, et al. “Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison..” Journal of the American College of Cardiology 70, no. 4 (July 2017): 439–50. https://doi.org/10.1016/j.jacc.2017.05.060.
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    • Akande, O., F. Li, and J. Reiter. “An Empirical Comparison of Multiple Imputation Methods for Categorical Data.” American Statistician 71, no. 2 (April 3, 2017): 162–70. https://doi.org/10.1080/00031305.2016.1277158.
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    • Li, F., A. Mattei, and F. Mealli. “Evaluating the causal effect of university grants on student dropout: Evidence from a regression discontinuity design using principal stratification.” Annals of Applied Statistics 9, no. 4 (December 1, 2015): 1906–31. https://doi.org/10.1214/15-AOAS881.
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    • Zhang, Tingting, Jingwei Wu, Fan Li, Brian Caffo, and Dana Boatman-Reich. “A Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) Time Series..” Journal of the American Statistical Association 110, no. 509 (March 2015): 93–106. https://doi.org/10.1080/01621459.2014.988213.
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    • Li, F., T. Zhang, Q. Wang, M. Z. Gonzalez, E. L. Maresh, and J. A. Coan. “Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression.” Annals of Applied Statistics 9, no. 2 (January 1, 2015): 687–713. https://doi.org/10.1214/15-AOAS818.
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    • Mercatanti, A., F. Li, and F. Mealli. “Improving inference of Gaussian mixtures using auxiliary variables.” Statistical Analysis and Data Mining 8, no. 1 (January 1, 2015): 34–48. https://doi.org/10.1002/sam.11256.
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    • Mercatanti, A, Li, F, and Mealli, F. "Improving inference of Gaussian mixtures using auxiliary variables(Accepted)." Statistical Analysis and Data Mining (2015).  Full Text
    • Zhang, Tingting, Fan Li, Marlen Z. Gonzalez, Erin L. Maresh, and James A. Coan. “A semi-parametric nonlinear model for event-related fMRI..” Neuroimage 97 (August 2014): 178–87. https://doi.org/10.1016/j.neuroimage.2014.04.017.
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    • Li, F., M. Baccini, F. Mealli, E. R. Zell, C. E. Frangakis, and D. B. Rubin. “Multiple Imputation by Ordered Monotone Blocks With Application to the Anthrax Vaccine Research Program.” Journal of Computational and Graphical Statistics 23, no. 3 (January 1, 2014): 877–92. https://doi.org/10.1080/10618600.2013.826583.
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    • Li, F., and F. Mealli. “A conversation with Donald B. Rubin.” Statistical Science 29, no. 3 (January 1, 2014): 439–57. https://doi.org/10.1214/14-STS489.
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    • Liu, F., S. Chakraborty, F. Li, Y. Liu, and A. C. Lozano. “Bayesian regularization via graph Laplacian.” Bayesian Analysis 9, no. 2 (January 1, 2014): 449–74. https://doi.org/10.1214/14-BA860.
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    • Mercatanti, A., and F. Li. “Do debit cards increase household spending? Evidence from a semiparametric causal analysis of a survey.” Annals of Applied Statistics 8, no. 4 (January 1, 2014): 2485–2508. https://doi.org/10.1214/14-AOAS784.
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    • Schliep, E. M., T. Q. Dong, A. E. Gelfand, and F. Li. “Modeling individual tree growth by fusing diameter tape and increment core data.” Environmetrics 25, no. 8 (January 1, 2014): 610–20. https://doi.org/10.1002/env.2324.
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    • Mattei, A., F. Li, and F. Mealli. “Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program.” Annals of Applied Statistics 7, no. 4 (December 1, 2013): 2336–60. https://doi.org/10.1214/13-AOAS674.
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    • Li, Fan, Alan M. Zaslavsky, and Mary Beth Landrum. “Propensity score weighting with multilevel data..” Statistics in Medicine 32, no. 19 (August 2013): 3373–87. https://doi.org/10.1002/sim.5786.
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    • Zhang, Tingting, Fan Li, Lane Beckes, and James A. Coan. “A semi-parametric model of the hemodynamic response for multi-subject fMRI data..” Neuroimage 75 (July 2013): 136–45. https://doi.org/10.1016/j.neuroimage.2013.02.048.
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    • Li, F., A. M. Zaslavsky, and M. B. Landrum. “Propensity score weighting with multilevel data.” Statistics in Medicine 32, no. 19 (2013): 3373–87. https://doi.org/10.1002/sim.5786.
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    • Zhang, Tingting, Fan Li, Lane Beckes, Casey Brown, and James A. Coan. “Nonparametric inference of the hemodynamic response using multi-subject fMRI data..” Neuroimage 63, no. 3 (November 2012): 1754–65. https://doi.org/10.1016/j.neuroimage.2012.08.014.
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    • Schwartz, Scott, Fan Li, and Jerome P. Reiter. “Sensitivity analysis for unmeasured confounding in principal stratification settings with binary variables..” Statistics in Medicine 31, no. 10 (May 2012): 949–62. https://doi.org/10.1002/sim.4472.
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    • Schwartz, S. L., F. Li, and F. Mealli. “A bayesian semiparametric approach to intermediate variables in causal inference.” Journal of the American Statistical Association 106, no. 496 (December 1, 2011): 1331–44. https://doi.org/10.1198/jasa.2011.ap10425.
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    • Go, Vivian F., Constantine Frangakis, Le Van Nam, Teerada Sripaipan, Anna Bergenstrom, Fan Li, Carl Latkin, David D. Celentano, and Vu Minh Quan. “Characteristics of high-risk HIV-positive IDUs in Vietnam: implications for future interventions..” Substance Use & Misuse 46, no. 4 (January 2011): 381–89. https://doi.org/10.3109/10826084.2010.505147.
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    • Schwartz, S. L., F. Li, and J. P. Reiter. “Sensitivity analysis for unmeasured confounding in principal stratification.” Statistics in Medicine in press (2011).
    • Li, Fan, and Alan M. Zaslavsky. “Using a short screening scale for small-area estimation of mental illness prevalence for schools..” Journal of the American Statistical Association 105, no. 492 (December 2010): 1323–32. https://doi.org/10.1198/jasa.2010.ap09185.
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    • Li, F., and N. R. Zhang. “Bayesian variable selection in structured high-dimensional covariate spaces with applications in genomics.” Journal of the American Statistical Association 105, no. 491 (September 1, 2010): 1202–14. https://doi.org/10.1198/jasa.2010.tm08177.
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    • Li, Fan, Jennifer Greif Green, Ronald C. Kessler, and Alan M. Zaslavsky. “Estimating prevalence of serious emotional disturbance in schools using a brief screening scale..” International Journal of Methods in Psychiatric Research 19 Suppl 1 (June 2010): 88–98. https://doi.org/10.1002/mpr.315.
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    • Baccini, M., S. Cook, C. E. Frangakis, F. Li, F. Mealli, D. B. Rubin, and E. R. Zell. “Multiple imputation by ordered monotone blocks.” Chance 23, no. 2 (2010): 16–23.
    • Li, F., and A. M. Zaslavsky. “Using a short screening scale for small-area estimation of prevalence of serious emotional disturbance for schools.” Journal of the American Statistical Association 105, no. 492 (2010): 1323–32.
    • Li, Fan, and Constantine E. Frangakis. “Polydesigns and causal inference..” Biometrics 62, no. 2 (June 2006): 343–51. https://doi.org/10.1111/j.1541-0420.2005.00494.x.
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    • Li, Fan, and Constantine E. Frangakis. “Designs in partially controlled studies: messages from a review..” Statistical Methods in Medical Research 14, no. 4 (August 2005): 417–31. https://doi.org/10.1191/0962280205sm405oa.
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    • Li, Fan. “Propensity Score Weighting for Causal Inference with Multi-valued Treatments,” n.d.
       Link to Item
• Teaching & Mentoring
• 

  Recent Courses

  • STA 440: Case Studies in the Practice of Statistics 2019
  • STA 723: Case Studies in Bayesian Statistics 2019
  • STA 640: Causal Inference 2018

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