16th Annual Innovations in Design, Analysis, and Dissemination: Frontiers in Biostatistics & Data Science Meeting

Sponsors: University of Kansas Medical Center Department of Biostatistics & Data Science, Kansas Western-Missouri Chapter of the American Statistical Association, University of Kansas Cancer Center, Quantitative Omics Core that supports the Kansas Institute for Precision Medicine, K-INBRE, and EMB Statistical Solutions, LLC.

Program at a glance:

Day 1 Program
Thursday, April 27st 2023
8:00a - 8:45a	Arrival and Breakfast
8:50a - 9:00a	Opening Remarks
9:00a - 10:00a	Keynote Lecture: Annette Molinaro, PhD, The role of statistics in changing glioma patient care
10:00a - 10:10a	Break
10:10a - 12:00a	Invited/Contributed Presentations: Invited Speaker: Zhiguo Zhou, PhD, Delta radiomics: Towards a potential immunotherapy response prediction strategy in cancer treatment Contributed Presentations: Robin High, MBA, MA, The Analysis of Ordinal Data with Graphs and Odds Ratios Invited Speaker: Dinesh Pal Mudaranthakam, PhD, MBA, Medication use among individuals living with dementia in the University of Kansas Cognitive Care Network dementia care program Contributed Presentations: Richard McNally, PhD, Project Optimus, Dose Optimization, and New Ideas in Oncology Drug Development
12:00a - 01:00p	Lunch Break
01:00p - 02:50p	Invited/Contributed Presentations: Invited Speaker: Zijun Yao, PhD, Ontology-Aware Prescription Recommendation in Treatment Pathways using Multi- Evidence Healthcare Data Contributed Presentations: Sam Boyd, MS, AMEND: Active Module identification using Experimental data and Network Diffusion Invited Speaker: Alex Karanevich, PhD, An introduction to the role of Biostatistician in the Pharmaceutical Industry Contributed Presentations: Alexander M Alsup, MS, Compositional Analysis Methods for DNA Methylation based Deconvolution Estimates
03:00p - 04:30p	Poster Session and Mixer
Day 2 Program
Friday, April 28th 2023
08:00a - 09:00a	Arrival and Breakfast
09:00a - 12:00a	Short Course:Fairness in Data Science: Criteria, Algorithms, and Open Problems Speaker: Razieh Nabi, PhD
12:00p - 01:00p	Lunch
01:00p - 02:50p	Invited/Contributed Presentations: Invited Speaker: Cen Wu, PhD, Identifying disease-gene associations with the EM based robust Bayesian variable selection Contributing Speaker: Sreejata Dutta, MS, PerSEveML: A Web-Based Tool to Identify Persistent Biomarker Structure for Rare Events Using Integrative Machine Learning Approach Invited Speaker: Alexandra Brown, PhD, Conducting a Bayesian Multi-Armed Trial with Response Adaptive Randomization for Comparative Effectiveness of Medications for CSPN Contributing Speaker: Jennifer Delzeit, MS, Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the nonparametric Flexible Hazards Method
02:50p - 03:00p	Break
03:00p - 03:50p	Invited/Contributed Presentations: Contributing Speaker: Xiaosong Shi, MS, Bayesian Hierarchical Modeling for Clinical Trial Accrual Performance Evaluation for the University of Kansas Comprehensive Cancer Center (KUCC) Contributing Speaker: Kate Young, MS, A novel Bayesian adaptive design incorporating both primary and secondary endpoints for randomized IIB chemoprevention study of women at increased risk for breast cancer
03:50p - 04:00p	Closing Remarks