Shanshan Li

Department of Biostatistics
Indiana University School of Public Health
410 West 10th Street, Suite 3000
Indianapolis, IN 46202
Email: sl50 [at]
Office: (317) 274-4259

Johns Hopkins Bloomberg School of Public Health, Ph.D. (Biostatistics), 2013
Fudan University, B.S. (Mathematics), 2008
Assistant Professor, Department of Biostatistics, Indiana University School of Public Health


My research interests include semiparametric modeling, survival analysis, biomarker evaluation, and neuroimaging data analysis.

Methodological Research

  1. Li, S. Estimating Time-Dependent ROC Curves Using Data Under Prevalent Sampling. (2016+). Accepted by Statistics in Medicine.           
  2. Li, S., Sun, Y., Huang, C. Y., Follmann, D., and Krause, R. Recurrent Event Data Analysis with Intermittently Observed Time-Varying Covariates. (2016). Statistics in Medicine, 35(18):3049-65.                                                           *An earlier version won the ASA Biometrics Travel Award   
  3. Li, S., Chen, S., Yue, C., and Caffo, B. (2016). A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data. Frontiers in Neuroscience, 10.
  4. Li, S. (2016). Joint Modeling of Recurrent Event Processes and Intermittently Observed Time-Varying Binary Covariate Processes.  Lifetime Data Analysis, 22(1), 145-160.
  5. Li, S. and Ning, Y. (2015).  Estimation of Covariate-Speci c Time-Dependent ROC Curves in the Presence of Missing Biomarkers.  Biometrics, 71(3), 666-76, PMID: 25891918.
  6. Wang, M-C. & Li, S. (2013). ROC Analysis for Multiple Markers with Tree-based Classification.  Lifetime Data Analysis, 19(1): 79-99.
  7. Wang, M-C. & Li, S. (2012). Bivariate Markers and ROC Analysis.  Biometrics. 68(4): 1207-18.
  8. Li, S., Eloyan, A., Joel, S., Mostofsky, S., Pekar, J., Spear-Bassett, S. & Caffo, B. (2012). Analysis of Group ICA-Based Connectivity Measures from fMRI: Application to Alzheimer's Disease. PLoS ONE 7(11): e49340. PMID: 23226208.


Collaborative Research

  1. O’Hara, L., Morgan, D., Pineles, L., Li, S., Sulis, C., Bowling, J., Drees, M., Jacob, J., Anderson,D., Warren, D., Harris, A. (2016+) Do High-Performing Infection Control Hospitals Also Perform Well OnOther Quality Outcomes? Accepted by Infection Control & Hospital Epidemiology.
  2. Tu, W., Chu, C., Li, S, and Liangpunsakul, S. (2016) .Development and validation of a composite score for excessive alcohol use screening.  Journal of Investigative Medicine, 64(5), 1006-1011.
  3. Tu, W. and Li, S. (2015). Resampling Methods. Wiley Statistics Reference Online. DOI: 10.1002/9781118445112.stat07196.pub2.
  4. Rock, C., Thom, K. A., Harris, A. D., Li, S., Morgan, D., Milstone, A. M., Caffo, B., Joshi, M. and Leekha, S. (2015). A Multicenter Longitudinal Study of Hospital-Onset Bacteremia: Time for a New Quality Outcome Measure?. Infection Control & Hospital Epidemiology, 1-6.
  5. Albert, M., Soldan, A., Gottesman, R., McKhann, G., Sacktor, N., Farrington, L., Grega, M., Turner,RS., Lu, Y., Li, S., Wang, M-C., Selnes, O. and the BIOCARD Research Team. (2014). Cognitivechanges preceding clinical symptom onset of mild cognitive impairment and relationship to ApoE genotype. Current Alzheimer Research, 11(8), 773-784.
  6. Eloyan, A., Li, S., Muschelli, J., Pekar, J., Mostofsky, S., Crainiceanu, C., and Caffo, B. (2014). AnalyticProgramming with fMRI Data: a Quick-Start Guide for Statisticians using R. PLoS ONE. 9 (2), e89470.
  7. Thom, K., Li, S., Custer, M., Preas, M. A., Rew, C., Cafeo, C., Leeka, S., Caffo, B., Scalea, T. & Lissauer, M. (2014). Successful Implementation of a Unit-based Infection Control Nurse to Reduce Central Line-associated Bloodstream Infections. American Journal of Infection Control. 42(2), 139-143.
  8. Li, S., Okonkwo, O., Albert, M. & Wang, M-C. (2013). Variation in Variables that Predict Progression from MCI to AD Dementia over Duration of Follow-up. American Journal of Alzheimer’s Disease, 1: 12-28.
  9. Moghekar, A., Li, S., Lu, Y., Li, M., Wang, M-C., Albert, M., O’Brien, R. and the BIOCARD Research Team. (2013). Cerebrospinal Fluid Biomarker Changes Precede Symptom Onset Mild Cognitive Impairment. Neurology. 81(20), 1753-1758.
  10. Soldan, A., Pettigrew, C., Li, S., Wang, M-C., Moghekar, A., O’Brien, R., Selnes, O., and Albert, M. (2013). Relationship of cognitive reserve and cerebrospinal fluid biomarkers to the emergence of clinical symptoms in preclinical Alzheimer's disease. Neurobiology of Aging. 34(12), 2827-2834.
  11. Pettigrew, C., Soldan, A., Li, S., Lu, Y., Wang, M-C., Selnesa, O., Moghekara, A., OBrien, R., Albert, M. and the BIOCARD Research Team. (2013). Relationship of Cognitive Reserve and APOE Status to the Emergence of Clinical Symptoms in Preclinical Alzheimer's Disease. Cognitive Neuroscience. 4(3-4), 136-142.
  12. Leekha, S., Li, S., Thom, K., Preas, M. A., Caffo, B., Morgan, D. J. & Harris, A. D. (2013). Comparison of total hospital-acquired bloodstream infections to central line-associated bloodstream infections and implications for outcome measures in infection control. Infection Control and Hospital Epidemilogy. 34(9), 984-986.
Fall 2016. B573 Applied Survival Analysis. See the Canvas website ( for lecture notes and homework assignments.
Spring 2016. B651 Introduction to Biostatistics I. See the Canvas website ( for lecture notes and homework assignments.
 Spring 2014. B651 Introduction to Biostatistics I. See the Oncourse website ( for lecture notes and homework assignments.
Fall 2014. B651 Introduction to Biostatistics I. See the Oncourse website ( for lecture notes and homework assignments.

Department of Biostatistics | 410 W. Tenth St., Suite 3000 | Indianapolis, IN 46202 | Ph: (317) 274-2661 | Fax: (317) 274-2678