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Yimei Li, Ph.D.

Associate Professor of Biostatistics in Biostatistics and Epidemiology at the Hospital of the University of Pennsylvania
Department: Biostatistics and Epidemiology

Contact information
Department of Biostatistics, Epidemiology, and Informatics (DBEI)
University of Pennsylvania Perelman School of Medicine
626 Blockley
423 Guardian Drive
Philadelphia, PA 19104
Education:
B.S. (Applied Mathematics)
Peking University, China, 2006.
M.S. (Biostatistics, Advisor Justine Shults)
University of Pennsylvania, Philadelphia, PA, 2008.
Ph.D. (Biostatistics, Advisor Daniel Heitjan)
University of Pennsylvania, Philadelphia, PA, 2010.
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Selected Publications

Li Y, Wileyto EP, Heitjan DF: Modeling smoking cessation data with alternating states and a cure fraction using frailty models. Statistics in Medicine 29(6): 627-638, Mar 2010.

Li Y, Wileyto EP, Heitjan DF: Prediction of individual long-term outcomes in smoking cessation trials using frailty models. Biometrics 67(4): 1321-1329, Dec 2011.

Li Y, Wileyto EP, Heitjan DF: Statistical analysis of daily smoking status in smoking cessation clinical trials. Addiction 106(11): 2039-2046, Nov 2011.

Li Y, Mick R, Heitjan DF: A Bayesian approach for unplanned sample size in phase II cancer clinical trials. Clinical Trials 9(3): 293-302, Jun 2012.

Li Y, Heitjan DF: A note on the complementary mixture Pareto II distribution. Communications in Statistics - Theory and Methods 42(2): 201-213, 2013.

Wileyto EP, Li Y, Chen J, Heitjan DF: Assessing the fit of parametric cure models. Biostatistics 14(2): 340-350, Apr 2013.

Li Y, Mick R, Heitjan DF: Suspension of accrual in phase II cancer clinical trials. Clinical Trials 12(2): 128-138, Apr 2015.

Li Y, Zhang Q: A Weibull multi-state model for the dependence of progression-free survival and overall survival. Statistics in Medicine 34(17): 2497-2513, Jul 2015.

Griffith SD, Shiffman S, Li Y, Heitjan DF: Model-based imputation of latent cigarette counts using data from a calibration study. International Journal of Methods in Psychiatric Research 25(2): 112-22, Jun 2016.

Li Y, Hall M, Fisher BT, Huang YV, Seif AE, Bagatell R, Getz K, Alonzo TA, Gerbing RB, Sung L, Adamson PC, Gamis A, Aplenc R: Merging Children's Oncology Group data with an external administrative database using indirect patient identifiers: A report from the Children's Oncology Group. PLoS ONE 10(11): e0143480, Nov 2015.

Vujkovic M, Aplenc R, Alonzon TA, Gamis AS, Li Y: Comparing analytic methods for longitudinal GWAS and a case-study evaluating chemotherapy course length in pediatric AML. A report from the Children’s Oncology Group. Frontiers in Genetics 7: 139, Jul 2016.

Knafl GJ , Barakat LP, Hanlon AL, Hardie T, Knafl KA, Li Y, Deatrick J: Adaptive modeling: An approach for incorporating nonlinearity in regression analyses. Research in Nursing and Health 40(3): 273-282, Jun 2017.

Ying GS, Zhang Q, Lan Y, Li Y, Heitjan D: Cure modeling in real-time prediction: How much does it help? Contemporary Clinical Trials 59: 30-37, May 2017.

Li Y, Wang M, Cheung YK: Treatment and dose prioritization in early phase platform trials of targeted cancer therapies. Journal of the Royal Statistical Society: Series C (Applied Statistics) 68(2): 475-491, Feb 2019.

Li Y, Newton J, Getz KD, Huang YS, Seif AE, Fisher BT, Aplenc R, Winestone LE: Comparable on-therapy mortality and supportive care requirements in black and white patients following initial induction for pediatric acute myeloid leukemia. Pediatric Blood & Cancer 66(4): e27583, Apr 2019.

Zhu YQ, Hwang WT, Li Y**: Evaluating the effects of design parameters on the performances of phase I trial designs. Contemporary Clinical Trials Communications 15: 100379, May 2019 Notes: ** Ms. Zhu is a biostatistics graduate student and I was a lab rotation co-advisor and the senior author.

Li Y, Yuan Y: PA-CRM: A continuous reassessment method for pediatric phase I oncology trials with concurrent adult trials. Biometrics 76(4): 1364-1373, Dec 2020.

Bender S, Gamerman V, Reese P, Gray D, Li Y**#, Shults J#: The first-order Markov conditional linear expectation approach for analysis of longitudinal data. Statistics in Medicine 40(8): 1972-1988. Apr 2021 Notes: ** Dr. Bender was a biostatistics graduate student and I was a co-senior author. # Equal contribution.

Li Y*, Izem R: Novel clinical trial design and analytic methods to tackle challenges in therapeutic development in rare diseases. Annals of Translational Medicine 10(18): 1034, Apr 2022 Notes: *Being selected by the journal as one of the Outstanding Authors.

Blinder J, Huang YS, Rossano JW, Costarino AT, Li Y**: Variation in hospital costs and resource utilization after congenital heart surgery. Cardiology in the Young 33(3): 420-431, Mar 2023 Notes: ** Senior author.

Li Y, Hwang WT, Maude SL, Teachey DT, Frey NV, Myers RM, Leahy AB, Liu H, Porter DL, Grupp SA, Shaw P: Statistical considerations for time-to-event endpoints in oncology clinical trials: illustrations with CAR-T immunotherapy studies. Clinical Cancer Research 28(18): 3940-3949, Sept 2022.

Li Y, Sun L, Burstein DS, Getz K: Considerations of competing risks analysis in CardioOncology studies. JACC: CardioOncology 4(3): 287–301, Sept 2022.

Cao L, Huang YS, Wu C, Getz K, Miller TP, Fisher BT, Fisher B, Seif A, Aplenc R, Li Y **: Leveraging machine learning to identify acute myeloid leukemia patients in an administrative database. Pediatric Blood & Cancer 70(5): e30260, May 2023 Notes: ** Senior author.

Cao L, Huang YS, Getz K, Seif A, Ruiz J, Miller T, Fisher B, Aplenc R, Li Y**: Applying machine learning to identify pediatric patients with newly diagnosed acute lymphoblastic leukemia using administrative data. Pediatric Blood & Cancer 71(3): e30858, Mar 2024 Notes: ** Senior author.

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Last updated: 03/23/2024
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