Ruitao Lin
Department of Biostatistics, Division of Basic Sciences
About Ruitao Lin
Dr. Ruitao Lin's personal website can be found at https://ruitaolin.weebly.com.
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Present Title & Affiliation
Primary Appointment
Assistant Professor, Department of Biostatistics, Division of Basic Science Research, The University of Texas MD Anderson Cancer Center, Houston, TX
Education & Training
Degree-Granting Education
| 2016 | The University of Hong Kong, Hong Kong, HKG, PHD, Biostatistics |
| 2012 | The Hong Kong University of Science and Technology, Hong Kong, HKG, MS, Financial Mathematics |
Postgraduate Training
| 2017-2019 | Research Fellowship, The University of Texas MD Anderson Cancer Center, Houston, TX |
| 2016-2017 | Research Fellowship, University of Washington, Seattle, WA |
Experience & Service
Academic Appointments
Regular Member, MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, 2020 - Present
Selected Publications
Peer-Reviewed Articles
- Lam CK, Lin R, and Yin G. Non‐parametric overdose control for dose finding in drug combination trials. Journal of the Royal Statistical Society: Series C (Applied Statistics) 68(4):1111-1130, 2019.
- Zhong YJ, Wen YF, Wong HM, Yin G, Lin R, Yang SY. Trends and Patterns of Disparities in Burden of Lung Cancer in the United States, 1974-2015. Front Oncol 9:404, 2019. e-Pub 2019. PMID: 31214489.
- Lin R, Yuan Y. On the relative efficiency of model-assisted designs: a conditional approach. J Biopharm Stat 29(4):648-662, 2019. e-Pub 2019. PMID: 31258039.
- Lin R. Bayesian optimal interval design with multiple toxicity constraints. Biometrics 74(4):1320-1330, 2018. e-Pub 2018. PMID: 29870069.
- Lin R, Yin G. Uniformly most powerful Bayesian interval design for phase I dose-finding trials. Pharm Stat 17(6):710-724, 2018. e-Pub 2018. PMID: 30066466.
- Yuan Y, Lin R, Li D, Nie L, Warren KE. Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials. Clin Cancer Res 24(20):4921-4930, 2018. e-Pub 2018. PMID: 29769209.
- Lin R, Yin G. STEIN: A simple toxicity and efficacy interval design for seamless phase I/II clinical trials. Stat Med 36(26):4106-4120, 2017. e-Pub 2017. PMID: 28786138.
- Lin R, Yin G. Bayesian optimal interval design for dose finding in drug-combination trials. Stat Methods Med Res 26(5):2155-2167, 2017. e-Pub 2015. PMID: 26178591.
- Lin R, Yin G. Nonparametric overdose control with late-onset toxicity in phase I clinical trials. Biostatistics 18(1):180-194, 2017. e-Pub 2016. PMID: 27549121.
- Lin R, Liu Z, Zheng S, Yin G. Power computation for hypothesis testing with high-dimensional covariance matrices. Computational Statistics & Data Analysis 104:10-23, 2016.
- Lin R, Yin G. Bootstrap aggregating continual reassessment method for dose finding in drug-combination trials 10:2349-2376, 2016.
- Lin R, Yin G. Bayes factor and posterior probability: Complementary statistical evidence to p-value. Contemp Clin Trials 44:33-35, 2015. e-Pub 2015. PMID: 26212520.
- Wen YF, Wong HM, Lin R, Yin G, McGrath C. Inter-Ethnic/Racial Facial Variations: A Systematic Review and Bayesian Meta-Analysis of Photogrammetric Studies. PLoS One 10(8):e0134525, 2015. e-Pub 2015. PMID: 26247212.
- Yin G, Lin R. Comments on 'competing designs for drug combination in phase I dose-finding clinical trials' by M-K. Riviere, F. Dubois, and S. Zohar. Stat Med 34(1):13-7, 2015. PMID: 25492615.
- Lin R, Thall PF, Yuan Y. An adaptive trial design to optimize dose-schedule regimes with delayed outcomes. Biometrics. e-Pub 2019. PMID: 31273750.
- Lin R, Yuan Y. Time-to-event model-assisted designs for dose-finding trials with delayed toxicity. Biostatistics. e-Pub 2019. PMID: 30984972.
- Lin R, Coleman RL, Yuan Y. TOP: Time-to-Event Bayesian Optimal Phase II Trial Design for Cancer Immunotherapy. J Natl Cancer Inst. e-Pub 2019. PMID: 30924863.
Book Chapters
- Yuan Y, Lin R. Novel Designs for Early Phase Drug Combination Trials. In: Bayesian Applications in Pharmaceutical Development. Chapman and Hall/CRC, 2019.
- Lin R, Yin G. Random Walk and Parallel Crossing Bayesian Optimal Interval Design for Dose Finding with Combined Drugs. In: Frontiers of Biostatistical Methods and Applications in Clinical Oncology. Springer Singapore, 2017.
- Lin R, Yin G. Robust Optimal Interval Design for High-Dimensional Dose Finding in Multi-agent Combination Trials. In: Advanced Statistical Methods in Data Science. Springer, Singapore, 2016.
- Yin G, Lin R. Continual reassessment methods. In: Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods. SAS Institute, 2015.
- Lin R, Yin G. Adaptive randomization. In: Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods. SAS Institute, 2015.
- Lin R, Yin G. Sample size re-estimation in adaptively randomized clinical trials with missing data. In: Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects. Chapman and Hall/CRC, 2015.