Xiaochun Li

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Xiaochun Li

Xiaochun Li, PhD
Associate Professor
Indiana University School of Medicine

Xiaochun Li is an associate professor of the Biostatistics Department in Indiana University School of Medicine and in Richard M. Fairbanks School of Public Health. She is a biostatistician with doctoral training in statistics from University of British Columbia, Canada. Since joining Indiana University School of Medicine (IUSM) and Regenstrief Institute, the central theme of her work has been assessing the comparative safety and effectiveness of medications, as well as identification of patient subpopulations for personalized medicine. An important part of this is developing, adapting and testing new or existing methods to improve validity of comparative research and personalized medicine using longitudinal health care data (either claims and/or clinical databases) that reflect routine care. She has served the project lead and co-lead of foundation and industry funded projects on statistical methodology of confounding control in pharmacoepidemiology studies using electronic health records. In addition, she also has years of experience in data mining in genomic studies such as comparing drug effectiveness on certain biomarkers and correlating changes in biomarkers in patient’s outcomes, more than 10 years of experience in clinical trials, and strong statistical computational skills. Her other interests include statistical computing, non- and semi-parametric regression, clinical trials and bioinformatics.

Li X, Hui S, Ryan P, Rosenman M, Overhage M. Statistical visualization for assessing performance of methods for safety surveillance using electronic databases. Pharmacoepidemiol Drug Saf. 2013 May;22(5):503-9. doi: 10.1002/pds.3419. Epub 2013 Feb 14.

Xiaochun Li, Zuoyi Zhang, Jon Duke. Glucaconlike Peptide 1-Based Therapies and Risk of Pancreatitis: A Self-Controlled Case Series Analysis. Pharmacoepidemiology and Drug Safety, 2013 (accepted).

Changyu Shen, Xiaochun Li, Lingling Li. Inverse probability weighting for covariate adjustment in randomized studies. Statistics In Medicine, 2013 (accepted).

Changyu Shen, Xiaochun Li, Peng-Sheng Chen, and Alfred Buxton. Treatment benefit and treatment harm rate to characterize heterogeneity in treatment effect. Biometrics, 2013 (epub ahead of print). PMID: 23865447

Xiaochun Li and Ronghui Xu (Eds.). High-Dimensional Data Analysis in Oncology, Springer. (2008).

Duke J, Friedlin J, Li X. Consistency in the safety labeling of bioequivalent medications. Pharmacoepidemiol Drug Saf. 2013 Mar;22(3):294-301. doi: 10.1002/pds.3351. Epub 2012 Oct 8. PubMed PMID: 23042584.

Jon D. Duke, Xu Han, Zhiping Wang, Abhinita Subhadarshini, Shreyas D. Karnik, Xiaochun Li, Stephen D. Hall, Yan Jin, Thomas J. Callaghan, Marcus J. Overhage, David A. Flockhart, Mathew R. Strother, Sara K. Quinney, and Lang Li. Drug Interaction Prediction from Literatures and Clinical Significance Assessment in Medical Record. PLoS Computational Biology (In press, 2012)

Rotnitzky A, Li L and Li X. A Note on Overadjustment in Inverse Probability Weighted Estimation. Biometrika. 97.4 (2010): 997-1001. PMCID: PMC3371719

Li L, Shen C, Li X, Robins JM. On weighting approaches for missing data. Stat Methods Med Res. 2013 Feb;22(1):14-30. doi: 10.1177/0962280211403597. Epub 2011 Jun 24. PubMed PMID: 21705435

Lingling Li, Changyu Shen, Ann C. Wu and Xiaochun Li. Propensity Score-based Sensitivity Analyses for Unmeasured Confounding. American journal of Epidemiology.174.3 (2011): 345-353.PMCID: PMC3202161

Changyu Shen, Xiaochun Li, Lingling Li and Martin Were. Sensitivity analysis for causal inference using inverse probability weighting. Biometrical Journal. 53.5 (2011): 822-837. PubMed PMID: 21770046; PubMed Central PMCID: PMC3777387