Department of Biostatistics and Epidemiology
Phase I, II, III clinical study design; adaptive designs in clinical trials; precision medicine with biomarkers; mixture model analysis; zero-inflated models; cure-rate models
Dr. Yong Lin received his PhD in Statistics from Statistics Department of the Pennsylvania State University in 1997. Currently he is a tenured professor of Biostatistics at the Department of Biostatistics and Epidemiology in the School of Public Health of Rutgers University. He holds a joint appointment in the Rutgers Cancer Institute of New Jersey.
Dr. Yong Lin’s research interests include statistical methodologies and applications. The methodological research has mostly been on the designs of clinical trials, especially on Phase I, II, and III, adaptive design, designs for precision medicine, and mixture model approaches including zero-inflated models and cure-rate models among others. The collaborative research includes clinical trials, epidemiology studies, genetic studies, and laboratory and animal studies. His research has led to publications of over 160 peer-reviewed papers and book chapters, with more forthcoming. These papers were published in many esteemed peer-reviewed journals in the areas of statistical methodology, cancer research, and epidemiological research including Biometrics, Biostatistics, Bioinformatics, Statistics in Medicine, Journal of Statistical Planning and Inference, Journal of Nonparametric Statistics, Statistics and Probability Letters, The Journal of the American Medical Association, Cancer, Cancer Research, Clinical Cancer Research, Proceedings of the National Academy of Sciences, etc. Many of the publications were highly cited: the most number of citations was 152 for a statistical methodological paper and 422 for a collaborative paper, the total number of citation is 6262 with h-index of 42 and i10-index of 101, and the 10 most cited papers have the averaged 235 citations, as of January 2019. The collaborative works have also led to many grants from the NIH/NCI, in which he participated as a co-investigator or biostatistician.
WJ Shih,Y Lin (2017) "On study designs and hypotheses for clinical trials with predictive biomarkers.", Contemporary clinical trials 62(5) 140-145 http://www.ncbi.nlm.nih.gov/pubmed/?term=28838813&report=abstract
Pin-Wen Wang,Shou-En Lu,Yong Lin,Weichung J. Shih,K.K. Gordon Lan (2017) "Two-stage winner designs for non-inferiority trials with pre-specified non-inferiority margin", Journal of Statistical Panning and Inference 183(5) 44-61 https://www.sciencedirect.com/science/article/pii/S0378375816301239
Fang Fang,Yong Lin,WJ Shih,S.E. Lu,G. Zhu (2018) "Evaluation of performance of adaptive designs based on treatment effect intervals", International Journal of Statistics and Probability 7(5) 81-93 http://www.ccsenet.org/journal/index.php/ijsp/article/view/0/36892
WJ Shih,Y Lin (2018) "Relative efficiency of precision medicine designs for clinical trials with predictive biomarkers.", Statistics in medicine 37(5) 687-709 http://www.ncbi.nlm.nih.gov/pubmed/?term=29205435&report=abstract
21 Peer-Reviewed Statistical and Medical Journals
2 Editorial Boards of Peer-Reviewed Statistical Journals
ENAR of IBS (2018)
Princeton-Trenton Chapter of ASA (2018)
International Biometrics Society (IBS) (1999)
American Statistical Association (ASA) (1999)