Event

Modern-day Data Analysis Techniques and Solutions in Biostatistics

Event Date(s): 09/10/2023 - 10/10/2023

Location: Computer Lab 3, Natural Sciences Building


The Department of Mathematics and Statistics will be hosting an International Workshop in Biostatistics consisting of four half day workshops during the period October 9-10, 2023. Using their recently published book (Wilson, Chen, and Peace 2023), Professor Jeffrey Wilson and Professor Ding- Geng Chen will focus on teaching attendee’s data analysis techniques with one response and one covariate [independent observations], one response with more than one covariate [independent observations], one response with one covariate [correlated observations] and one response with several covariates [correlated observations]. Upon conclusion of the 4 half-day workshops, attendees would have been exposed to modern-day techniques and solutions available in biostatistics.

The workshops are arranged over the 2 days as follows:

Monday 9th October 2023

9:00 am to 10:00 am - Inauguration

10:00 am to 1:00 pm - Workshop 1: Data collection, data design, sample size, power curve, one response variable

2:00 pm to 5:00 pm - Workshop 2: Multiple covariates with models for one response variable

Tuesday 10th October, 2023

9:00 am to 12:00 noon - Workshop 3: Clustered design versus longitudinal model with one covariate

1:00 pm to 4:00 pm - Workshop 4: Clustered design versus longitudinal model with several covariates 

Biographies of Guest Speakers:

Professor Jeffrey Wilson

Jeffrey Wilson is a Professor of Statistics and Biostatistics and Associate Dean of Research and DEI in W. P. Carey School of Business at Arizona State University. He received his BA in Mathematics from the University of the West Indies and his MS and PhD in Statistics from the Iowa State University. He has taught graduate courses in MBA Analytic programs and Executive MBA programs, as well as graduate courses in the areas of biostatistics, sampling, regression analysis, categorical data analysis, survival analysis, and generalized linear models, as well as undergraduate honors statistics courses. He has also taught specialized Biostatistics classes at Mayo Clinic.

Dr. Wilson is presently the Statistics Associate Editor for The Journal of Minimally Invasive Gynecology.  His former roles include: Chair of the Editorial Board of the American Journal of Public Health, editorial board member of the Journal of Health Education & Development and Director and co-Director of the Biostatistics Core in the NIH Center for Alzheimer at Arizona State University. His past leadership experiences include roles as Arizona representative to ASA; Chair for Section on Statistics APHA; the Director of the Interdisciplinary Program in Statistics at Arizona State University; and President of the Arizona Chapter of the ASA. In 1997, he was assigned to serve as a biostatistician on the Presidential committee on non-conventional practices to medicine.

Dr. Wilson’s research experience includes grants as PI and co-PI from the NIH, NSF, USDA, Arizona Department of Health Services, and the Arizona Disease Research Commission. He has published more than 80 articles in several leading journals including Statistics in MedicineAmerican Journal of Public HealthJournal of Royal Statistics Series C, Management ScienceJournal of Business and Economic StatisticsComputational Statistics, and Australian Journal of Statistics, among others. Dr. Wilson has also held consultations with pharmaceutical companies and hospitals while representing them before the FDA and other federal government healthcare agencies.

Professor Ding-Geng Chen

Dr. (Din) Ding-Geng Chen is a fellow of the American Statistical Association and currently the executive director and professor in biostatistics at the College of Health Solutions, Arizona State University. He received his Diploma in Applied Mathematics from Jishou University, his MSc in Statistics from Hunan University and his PhD in Statistics from the University of Guelph.

Dr. Chen is an extraordinary professor and the SARChI in biostatistics at the University of Pretoria and an honorary professor at the University of KwaZulu-Natal, South Africa. In his past roles, he was a professor in Biostatistics at the University of North Carolina at Chapel Hill, professor in biostatistics at the University of Rochester Medical School, and the Karl E. Peace Endowed Eminent Scholar Chair in Biostatistics at Georgia Southern University.

Dr. Chen is presently a senior biostatistics consultant for biopharmaceuticals and government agencies with extensive expertise in biostatistics, clinical trials, and public health statistics. He has more than 200 referred professional publications and has co-authored and co-edited 35 books on clinical trial methodology, meta-analysis, data science, causal inference, and public health research.

Interested persons can register here

Date: 9th – 10th October 2023

Venue: Computer Lab 3, Natural Sciences Building

Deadline for Registration:  20th September, 2023.

Selected participants will be informed latest by October 4, 2023. Preference will be given to postgraduates and mid-career researchers, especially those working in the fields of statistics, biostatistics, medical statistics, demography, and related fields.

For More Information contact Mr. Shastri Singh Doodnath at Shastri.SinghDoodnath@sta.uwi.edu, or Jason Chamaroo at Jason.Chamaroo@sta.uwi.edu.

 

Open to: | General Public |


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