Contributed Poster Presentations: Lifetime Data Science Section

Newly formed digital markets create a multiplicity of jobs for data scientists, statisticians, and other professionals who work with data. All of their work revolves around data collected by businesses operating on digital markets: social media platforms, search engines, streaming services, instant messaging services, online gaming platforms and gaming consoles, credit card markets, and so on. All these markets have a common feature; they bring together different sides of a market to meet and interact. Most of them are two-sided markets because they enable two groups of market participants to interact with each other: players and developers of games, users of computer operating systems and applications developers, holders of bank cards and merchants that accept cards as a method of payment. This course offers students an opportunity to learn how digital markets work, why collect data and how they use said data in their business models, and what data scientists can do to ensure proper data processing. 

Many chronic diseases can be characterized using multistate models. Longitudinal cohorts and registry studies of chronic diseases typically recruit and follow individuals to record data on the nature and timing of disease progression. In many cases the exact transition times between disease states are not observed directly, but the state occupied at each clinic visit is known. Such studies also routinely collect and store serum samples at the intermittent clinic visits. We consider the design of two-phase studies aimed at selecting individuals for biospecimen assays to measure biomarkers of interest and estimate their association with disease progression. Likelihood-based and estimating function approaches are developed and the efficiency gains from residual-dependent sampling strategies are investigated for joint models of the biomarker and disease progression processes. The robustness and efficiency of different frameworks are investigated, and the methods are applied to a motivating study of the relationship between the HLA-B27 marker and joint damage in arthritis.