International Journal of

Clinical Biostatistics and BiometricsISSN: 2469-5831

Editorial Board

Youping Deng

Director of Bioinformatics and Biostatistics

Rush University Cancer Center

Chicago

USA

Tel: 312.563.4440

Youping Deng, Ph.D., is currently the Director of Bioinformatics and Biostatistics, Associate Professor, Department of Internal Medicine and Biochemistry, Rush University Medical Center in Chicago. Dr. Deng received his Ph.D. from Peking Union Medical College. He used to be Associate Director of Bioinformatics, Mississippi Functional Genomics Network as well as adjunct Associate Professor in the Department of Computer Sciences of Georgia State University. From 2004 to 2008, he was a tenure track assistant professor at the University of Southern Mississippi. He has published more than 170 papers in peer-reviewed journals and is serving as editorial board members of 5 international


Youping Deng, Ph.D., is currently the Director of Bioinformatics and Biostatistics, Associate Professor, Department of Internal Medicine and Biochemistry, Rush University Medical Center in Chicago. Dr. Deng received his Ph.D. from Peking Union Medical College. He used to be Associate Director of Bioinformatics, Mississippi Functional Genomics Network as well as adjunct Associate Professor in the Department of Computer Sciences of Georgia State University. From 2004 to 2008, he was a tenure track assistant professor at the University of Southern Mississippi. He has published more than 170 papers in peer-reviewed journals and is serving as editorial board members of 5 international journals. My research interest is bioinformatics, biostatistics, computational biology, biomedical informatics, and genomics.



Hsu-Hao Yang

Professor

Department of Industrial Engineering and Management

National Chin-Yi University of Technology

Taichung City

Taiwan

Tel: 886-4-23924505

Dr. Hsu-Hao Yang received the B.S. degree in industrial management from National Cheng-Kung University, Tainan City, Taiwan, in 1983, and the M.S. and Ph.D. degrees in industrial engineering from The University of Iowa, Iowa City, U.S.A., in 1991 and 1994, respectively. He was a visiting scholar at the Department of Mechanical and Industrial Engineering, The University of Iowa, in 2010. He is currently a Professor at the Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung City, Taiwan. Professor Yang published and reviewed papers in referred journals, and has been a member of several editorial boards. His current


Dr. Hsu-Hao Yang received the B.S. degree in industrial management from National Cheng-Kung University, Tainan City, Taiwan, in 1983, and the M.S. and Ph.D. degrees in industrial engineering from The University of Iowa, Iowa City, U.S.A., in 1991 and 1994, respectively. He was a visiting scholar at the Department of Mechanical and Industrial Engineering, The University of Iowa, in 2010. He is currently a Professor at the Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung City, Taiwan. Professor Yang published and reviewed papers in referred journals, and has been a member of several editorial boards. His current research interests focus on the applications of data mining techniques to wind energy.



James Michael Hardin

Provost and Vice President for Academic Affairs

Samford University

USA

Tel: 205-266-4395

Dr. Hardin has authored or co-authored over 80 papers in various journals. He is the author or co-author of over 150 abstracts presented at national meetings and has given over 75 invited lectures or talks. He is the author of several book chapters dealing with database design and decision support systems. Dr. Hardin often serves as a consultant to healthcare organizations in the areas of data mining, sampling, and program integrity. Additionally, he is an instructor and consultant for the SAS Institute in the areas of data mining and time series analysis. He is Adjunct Professor of Biostatistics and Adjunct


Dr. Hardin has authored or co-authored over 80 papers in various journals. He is the author or co-author of over 150 abstracts presented at national meetings and has given over 75 invited lectures or talks. He is the author of several book chapters dealing with database design and decision support systems. Dr. Hardin often serves as a consultant to healthcare organizations in the areas of data mining, sampling, and program integrity. Additionally, he is an instructor and consultant for the SAS Institute in the areas of data mining and time series analysis. He is Adjunct Professor of Biostatistics and Adjunct Professor of Health Informatics at the University of Alabama at Birmingham. He has served as Scholar in Residence in the Center for Information Management, Department of Information Systems and Operations Management, Loyola University, Chicago, and Visiting Professor in the Department of Management and Information Sciences and Statistics at Trinity College, Dublin, Ireland. He is a member of numerous professional associations including the American Statistical Association, the Biometric Society, and the Institute of Mathematical Statistics. He was also named a Fellow of the American Statistical Association. His specialty areas include Data mining and knowledge discovery, data visualization, data warehousing, machine learning, statistical classification models, data management and collection methodologies, research design, informatics, the applications of statistical methodologies in the study of aging, and biostatistics.



Jon Ver Halen

Associate Professor

Department of Surgery

School of Medicine

Texas A&M University

USA

Tel: 206-963-8714

Dr. Jon Ver Halen is an Associate Professor with the Texas A&M School of Medicine, Department of Surgery. He is also Associate Program Director of the Plastic Surgery Residency, and Program Director of the Microvascular Surgery Fellowship. His professional organisations include Plastic Surgery Research Council, American Society for Reconstructive Microsurgery, American Society for Reconstructive Transplantation, Memphis Robotic Surgical Society, American Society of Plastic Surgeons, etc.


Dr. Jon Ver Halen is an Associate Professor with the Texas A&M School of Medicine, Department of Surgery. He is also Associate Program Director of the Plastic Surgery Residency, and Program Director of the Microvascular Surgery Fellowship. His professional organisations include Plastic Surgery Research Council, American Society for Reconstructive Microsurgery, American Society for Reconstructive Transplantation, Memphis Robotic Surgical Society, American Society of Plastic Surgeons, etc.



Mehmet Kocak

Associate Professor

Division of Biostatistics and Epidemiology

Department of Preventive Medicine

University of Tennessee Health Sciences Center

USA

Tel: 901-448-2937

Dr. Mehmet Kocak is an Associate Professor of Biostatistics in the Department of Preventive Medicine. He earned his M.Sc. degree in applied statistics from Michigan State University and a Ph.D. of statistics from University of Memphis. He has been a study biostatistician for numerous Phase-I and Phase-II clinical trials conducted by St. Jude Children's Research Hospital from 2002-2011 and by Pediatric Brain Tumor Consortium (PBTC) from 2002-present, and for clinical and observational studies conducted by University of Tennessee Health Science Center (UTHSC) since 2011. His responsibilities as the biostatistician for many clinical trials have included, but have been not limited


Dr. Mehmet Kocak is an Associate Professor of Biostatistics in the Department of Preventive Medicine. He earned his M.Sc. degree in applied statistics from Michigan State University and a Ph.D. of statistics from University of Memphis. He has been a study biostatistician for numerous Phase-I and Phase-II clinical trials conducted by St. Jude Children's Research Hospital from 2002-2011 and by Pediatric Brain Tumor Consortium (PBTC) from 2002-present, and for clinical and observational studies conducted by University of Tennessee Health Science Center (UTHSC) since 2011. His responsibilities as the biostatistician for many clinical trials have included, but have been not limited to, statistical design of the trial, conducting and monitoring of the trial, periodic reporting of study progress in semi-annual meetings, analyzing, reporting and publication of the trial data. As a biostatistician, he has also conducted numerous retrospective data analyses as well as analyses on clinical and observational studies conducted by PBTC, Children's Oncology Group (COG), and UTHSC. As part of his responsibilities within UTHSC, he acts as the coordinating biostatistician for the CANDLE (Conditions Affecting Neurocognitive Development and Learning in Early Childhood) study as well as its ancillary study 'Pregnancy folate status & early childhood respiratory & atopic disease outcomes' by providing direct mentorship and supervisions to data analysts and other statisticians. He also provides statistical support for the US AirForce studies, specifically to the FitBlue (Dissemination of the Look Ahead Weight Management Treatment in the Military) study. His area of research have been time-course gene expression data analysis, meta-analysis of p-values, Phase-I clinical trial design, Survival analysis, and categorical data analysis. He is an expert on SAS programming language as well as SAS/Graph.



Haixin Wang

Associate Professor

Department of Mathematics and Computer Science

Fort Valley State University

Fort Valley, Georgia

USA

Dr. Haixin Wang's primary research interests are in the field of bioinformatics, computation biology, algorithm analysis, and signal processing. Specifically, he is interested in the statistics data processing in system biology, especially the noisy time-series microarray data. His research has profound biomedical application. He developed the noisy non-linear gene regulatory network models using advanced statistics signal processing, and analyzed statistical-based microarray data and delivery systems for functional genomics information to visualize the expression data. He also published fourteen papers in prestigious peer-reviewed top-rated journal and conference, such as IEEE Transactions on Signal Processing, and IET System Biology, and one


Dr. Haixin Wang's primary research interests are in the field of bioinformatics, computation biology, algorithm analysis, and signal processing. Specifically, he is interested in the statistics data processing in system biology, especially the noisy time-series microarray data. His research has profound biomedical application. He developed the noisy non-linear gene regulatory network models using advanced statistics signal processing, and analyzed statistical-based microarray data and delivery systems for functional genomics information to visualize the expression data. He also published fourteen papers in prestigious peer-reviewed top-rated journal and conference, such as IEEE Transactions on Signal Processing, and IET System Biology, and one book chapter by Wiley with the book title 'Applied Statistics for Network Biology: Methods in System Biology'. He presented his research work at numerous prestigious scientific gatherings in the United States, China, and Canada, for example, IEEE Symposia on Computation and Intelligence in Bioinforamtics and Computation Biology. As a researcher in Bioinformatics, he also serves in the professional organizations. He served as the paper reviewer for many national and international conferences, and journals, for example, IEEE Transaction, and IET System Biology. He was identified as the TOP Performing Reviewer on Computers and Electrical Engineering in 2010 and 2014, Elsevier Editorial System. He was also committee member in the national and international conferences.



Xiang-Yang (George) Lou

Associate Professor

Department of Biostatistics

University of Alabama at Birmingham

Alabama, USA

Tel: 205-975-9145

Dr. Lou received his Ph.D. from Zhejiang University, China, in 1997. And then he was recruited as an Assistant Professor at Zhejiang University. He came to the U.S. for pursuing postdoctoral training in the Department of Statistics, the University of Florida, in 2002. He was a Research Associate and an Assistant Professor at the University of Virginia. He joined UAB as an Associate Professor in 2009. Dr. Lou's research interests include Biostatistics, Bioinformatics, Genetic Epidemiology, Statistical Genetics, and Population Genetics. His research primarily concentrates on developing and applying powerful innovative analysis methods to solve


Dr. Lou received his Ph.D. from Zhejiang University, China, in 1997. And then he was recruited as an Assistant Professor at Zhejiang University. He came to the U.S. for pursuing postdoctoral training in the Department of Statistics, the University of Florida, in 2002. He was a Research Associate and an Assistant Professor at the University of Virginia. He joined UAB as an Associate Professor in 2009. Dr. Lou's research interests include Biostatistics, Bioinformatics, Genetic Epidemiology, Statistical Genetics, and Population Genetics. His research primarily concentrates on developing and applying powerful innovative analysis methods to solve real-world biological problems such as gene-gene and gene-environment interactions, low statistical power, and allelic heterogeneity in genetic data analysis. His research Interests are Biostatistics, Bioinformatics, Genetic Epidemiology, Statistical Genetics, and Population Genetics.



Yasutaka Chiba

Associate Professor

Clinical Research Center

Kindai University Hospital

Japan

Yasutaka Chiba is an Associate Professor of Clinical Research Center at Kindai University Hospital in Japan. He is a biostatistician. His area of interest is clinical research methodology. Specifically, he is working on application of causal inference methodology to clinical studies. His research interest is Application of causal inference methodology to clinical studies.


Yasutaka Chiba is an Associate Professor of Clinical Research Center at Kindai University Hospital in Japan. He is a biostatistician. His area of interest is clinical research methodology. Specifically, he is working on application of causal inference methodology to clinical studies. His research interest is Application of causal inference methodology to clinical studies.



Editor-in-chief


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